Clear definitions for a smoother nCore experience

AI-powered screening compares every incoming application against the requirements of the role and returns a list ranked by relevance. Rather than deciding in the recruiter’s place, it suggests a reading order and surfaces the information that matters; the gain shows most at high volumes, where reading applications in order of arrival means rejecting people out of fatigue rather than on merit.

API access means the platform exposes documented programmatic endpoints, with authentication keys and rate limits, that a customer or a partner can call to read and write data. It is the raw capability, not the connection itself: what gets built on top of it, natively or to measure, is covered under Third-Party Integrations. Its practical value is that it removes the ceiling of the connections a vendor happens to ship, which matters most for organisations with systems no catalogue of ready-made integrations will ever cover.

ATS compliance is the set of requirements the platform must meet when handling candidate data: legal bases and consent under the GDPR, defined retention periods, traceable access and, for artificial intelligence features, the obligations of the AI Act. It is among the first topics to surface in an audit, because an application is personal data in every sense.

The analytics dashboard gathers recruiting indicators on a single screen, often as one section of a wider HR dashboard. Typical contents: applications by channel, time spent in each stage, open positions, conversion rates. It aggregates data generated by the process itself, so it updates without spreadsheets filled in at month end. What it shows is where the process loses time, not why; the explanation always requires looking at individual searches.

The applicant drop-off rate is the share of people who start filling in an application form but never submit it. It grows with every mandatory field, with forced account registration, and with forms that behave badly on a smartphone. Those who abandon often leave no trace in the system, so these are applications the company does not even know it lost. For that reason the metric has to be measured on the form itself, not reconstructed downstream.

An Applicant Tracking System is the software that manages the entire hiring cycle, from the job requisition to posting the ad, collecting applications, evaluating candidates and making the hire. It centralises profiles, communications and the outcome of every stage in an archive that can be searched years later; without a structured history there are no metrics, and no way to reuse candidates you have already met.

The application conversion rate is the ratio between people who view a job ad and people who submit an application. Read it alongside traffic: a low rate on heavy traffic points to a problem with the ad or the form, while a high rate on little traffic means distribution is the limit, and the two call for opposite fixes.

The form builder lets you design a tailored application form for each position, choosing which fields to ask for, which to make mandatory and which screening questions to include. Answers enter the ATS as structured data, so they can be filtered without opening a single CV. One caveat governs the design: every field you add improves data quality and cuts the number of applications that make it to the end.

An assessment is a structured test given to candidates to measure something the interview alone cannot capture. The forms vary: technical skills, aptitude questionnaires, practical exercises, role plays. Everyone faces the same test under the same conditions, and that is what makes the results comparable. When the assessment is connected to the ATS, the invitation goes out as a stage is reached and the result lands back on the candidate’s profile, with no links and files bounced between tools.

Auto-tagging applies labels to profiles automatically, based on what they contain or how they move through the process: skills detected in the CV, source channel, language, the outcome of a stage. Tags feed database searches and the lists used to build re-engagement campaigns, with a consistency manual labels never achieve: tags applied by hand get lost along the way, automatic ones cover the whole archive.

Automation rules are configurable conditions that trigger an action when an event occurs: sending a message when an application arrives, moving candidates who pass a screening to the next stage, alerting the hiring manager. Set once, they apply to every position they cover, so every candidate in the same situation gets the same treatment and the process becomes predictable.

Agentic recruiting refers to AI systems able to carry out sequences of tasks on their own, rather than responding to one instruction at a time: applied to hiring, that might mean reviewing applications, producing a ranked shortlist and preparing the next steps without someone triggering each action. Human oversight remains necessary wherever the outcome affects a person, and under EU rules it is not optional.

Algorithmic bias is the systematic distortion by which an automated system favours or penalises particular groups of people. In hiring it almost always originates in the historical data the system learned from: if certain profiles were hired more often in the past, the model tends to reproduce that preference. No algorithm is neutral by construction, which is why bias has to be measured on outcomes rather than declared absent.

An assessment centre brings several candidates together for a set of exercises observed by multiple assessors: group tasks, role plays, presentations, case work, often alongside the individual assessments described under Assessment. Each assessor watches different candidates across different exercises, so no single judgement carries anyone through. It costs a great deal in time and coordination, which is why it tends to be kept for graduate intakes and for roles where a hiring mistake is expensive. Spelled assessment center in American English.

A background check verifies what a candidate has declared, typically degrees, work history and references, before the hire is formalised. In the EU it must rest on an adequate legal basis, be limited to information relevant to the role and be disclosed to the candidate; national rules vary and are often stricter. Consent alone is not a free pass here, because the relationship between the parties is not an equal one.

Benchmarking in recruiting means comparing your hiring metrics against a reference point, external across your sector or internal across sites, job families or time periods. It requires identical definitions of each indicator, otherwise you are comparing numbers that measure different things; done well, it separates the gaps that come from your process from the gaps that come from the market for that role.

Branding customization aligns every touchpoint of the hiring process with the company’s identity: career page, job ads, application forms, automated emails and interview invitations, all with consistent logo, colours and tone of voice. It extends to the domain the messages are sent from, a detail that matters because for many candidates the hiring process is their first real contact with the company, and the one they remember.

Bulk actions apply the same operation to many candidates at once: changing stage, sending a message, adding tags, archiving or exporting. Their most common use comes when a search closes and every profile that did not go forward deserves an answer. Hours of repetitive work disappear. The condition is that the message sent in bulk still reads like a reply rather than an automated formality.

In sourcing, Boolean search is the technique of querying a CV database or a professional network with the operators AND, OR and NOT, plus quotation marks for exact phrases and brackets for grouping. Its purpose is to catch every way a skill is actually written rather than the one phrasing that came to mind: “project manager” OR “programme manager” NOT internship. It is the manual core of the sourcing work described under Sourcing, and what semantic matching tools are built to approximate.

Candidate Relationship Management is the structured cultivation of relationships with talent who are not candidates yet, or no longer are: profiles met in the past, spontaneous applicants, contacts collected at events. At its core is a database segmented by skills and interest, used to build targeted re-engagement, so that each new search starts from an existing shortlist instead of from zero.

CV parsing is the technology that reads a free-format resume and extracts its content into structured fields: personal details, work experience, education, skills, languages. By turning an unsearchable document into a profile that can be compared with every other one in the archive, it underpins every database search; without structured data, a CV archive is just a folder nobody reopens.

Campaign tracking measures how job posting and promotion perform across channels, attributing to each one the applications it generated and how they fared in later stages. Technically it relies on tracking parameters in links or on integrations with the job portals. The value appears once you look past volume, because a channel bringing many applications and no hires costs more than one bringing a few good ones.

A candidate blacklist marks profiles to be excluded from future searches, for instance after unacceptable behaviour in an interview. Because recording a negative judgement about a person is a processing of personal data that falls under the GDPR, the list must be justified, documented and limited in time; in practice, almost every case is better handled with a note on the profile than with a permanent exclusion.

The candidate conversion rate is the share of candidates who clear a given step of the process. Calculated across every step in sequence, it gives the stage-to-stage conversion rates, which are the same measure read along the whole funnel. When a collapse concentrates in a single step, look for a badly calibrated criterion or a requirement the market does not offer rather than a problem spread across the process.

Candidate experience is the sum of impressions a person takes away from interacting with a company during a hiring process. It covers how clear the ad was, how simple the application, how fast the responses, how good the interviews, and whether an outcome was communicated even when negative. It concerns every candidate, not just the one hired, and shapes reputation well beyond the single search. Nothing damages it more than silence.

The candidate feedback loop is the full cycle: collect impressions on the process just ended, identify what to change, make the change, then measure again. The term names the cycle, not the survey, and the middle part is the one that most often goes missing, with feedback collected and filed away; a loop is working when you can point to at least one thing in the process that changed because of what candidates said.

The candidate journey is a person’s complete path in relation to the company, from first meeting the job ad to joining the workforce, interviews, waiting periods and communications included. Mapping it means listing every touchpoint and spotting the ones where the person is left without information, so you can intervene where the process actually breaks down, which is rarely where the recruiter thinks it does.

Candidate nurturing is the ongoing work of staying in touch with promising profiles who were not hired or are not currently looking, through periodic messages, event invitations and relevant content. It presupposes a segmented database and a sustainable contact rhythm, otherwise it turns into noise. The return shows up in time to fill, because people who already know the company apply sooner.

The candidate pipeline is the set of candidates under evaluation for a position, spread across the stages of the process: newly arrived, in screening, at interview, awaiting an offer. Distinct from the process itself, which is the sequence of stages, the pipeline is the people inside it at a given moment, and watching it shows in advance where a search is narrowing too much, instead of discovering it once the position stays unfilled.

The candidate quality score is a single number expressing how closely a profile matches the requirements of a position. It combines skills, experience, availability and other criteria defined upfront. Since its value depends on the weight given to each factor, it needs calibrating with the hiring manager before the search opens. Its job is to rank applications by priority, not to decide in the recruiter’s place.

Candidate response time measures how long candidates take to reply to a message, an interview invitation or a request for documents. Read by channel and by stage, it shows which contact methods work and which fall flat, often revealing that the problem is not disinterest but the medium chosen. When it stretches, the application is usually already going cold, which makes it a useful early-warning signal.

The candidate satisfaction score condenses how candidates rate the hiring process they have just been through: one or more scale questions, typically on clarity, timeliness and interview quality, summarised in a score comparable across periods and searches. Collect it from rejected candidates too. They are the majority and rate the process lower, and measuring only the hired yields a reassuring, false number. Collection and use are described under Candidate Feedback Loop.

The career page is the section of the company website dedicated to working there, combining the list of open positions with an account of what the company is like inside. Connected to the ATS, it updates itself whenever a position is published or closed and channels applications into an already structured flow. For many candidates it is the first direct contact with the company, and even those arriving from a job board open it to see who is hiring.

Chatbot integration gives candidates a conversational assistant that answers recurring questions about requirements, location, application status and next steps, covering the first line at any hour and handing over to the recruiter the cases that need human judgement. The limit is well known: on questions outside its script, a chatbot that insists on answering does more damage than one that passes the conversation on straight away.

Collaboration tools let recruiters and hiring managers work on the same application: comments, structured evaluations, shared profiles, feedback requests with a deadline. Because everything stays attached to the candidate instead of scattering across inboxes and private chats, months later you can still see who assessed what and why a profile was chosen or rejected.

Confidential hiring covers the practices used to run a search that cannot be made public, typically the replacement of an executive who is still in post. The position is kept off the career page and job boards, and visibility over candidates is restricted to a handful of users. Confidentiality here is not a preference, since a leak damages the company and the people involved at the same time.

Consent management covers collecting, recording and renewing the permissions through which a candidate agrees to the processing of their data, along with the ability to withdraw them. In practice it means knowing which privacy notice was accepted, when and for what purpose, and acting on expiry. Consent is one of several lawful bases under the GDPR, and a talent pool can also rest on legitimate interest with a defined retention period; what does not vary is the duty to state the basis, keep it recorded and honour a withdrawal.

The content library is the archive of reusable recruiting material: email templates, job ad copy, evaluation scorecards, interview guides and offer letters. Centralising them stops every recruiter starting from a personal file. It also keeps mismatched versions out of circulation. The real gain is consistency, with different candidates receiving the same information and being judged by the same criteria.

Cost per hire adds up what was spent to close the hires of a given period, from job ads and agencies to tools and the cost of internal time, and divides it by the number of people hired. Read it by job family, since a rare technical profile and a high-turnover role have costs that cannot be compared. On its own it says little; alongside the quality and retention of the people hired, it starts to mean something.

Custom roles and permissions define what each user can see and do in the system, distinguishing, say, the administrator, the recruiter and the hiring manager who only sees their own openings. Granularity reaches the single field, so a profile can be visible while its notes or salary data are not, which is how the data minimisation the GDPR requires gets applied without bringing work to a halt.

Custom workflows give each type of search the sequence of stages it actually needs, rather than forcing one company-wide process. High-volume hiring for production and a senior technical role share neither the same steps nor the same timings. For every stage you define owners, automations and criteria for moving forward. Skip that distinction and process data cannot be compared.

A competency-based interview asks candidates to describe specific situations they have handled, on the principle that past behaviour predicts future behaviour better than stated intentions. Questions begin with a prompt such as “tell me about a time when”, and each is tied to a competency defined in advance for that role. Answers are scored on evidence, not on how well the story is told. Also called behavioural interviewing, the two terms are used interchangeably.

DEI stands for diversity, equity and inclusion, and the three are distinct. Diversity is the range of profiles present; equity is fairness of outcome, which means removing the barriers that put candidates at different starting points rather than simply treating everyone identically; inclusion is whether people, once hired, can actually participate. In hiring the levers are neutral-language adverts, diversified sourcing channels, consistent scorecards and mixed panels. Recruiting diverse profiles into a process that is not fair mostly produces higher turnover.

Data export lets you extract the information held in the system in an open format, from candidate records to full process history, for external analysis, compliance or migration. When choosing a platform, verify completeness, because many exports return the lists but not the events that tell the story; a complete export is also the guarantee that the data belongs to the company, not the vendor.

Data-driven hiring bases selection decisions on systematic measurement rather than the impression left by a single interview. The raw material includes channel yields, stage-to-stage conversions, timings, rejection reasons, and outcomes six and twelve months after joining. It presupposes data recorded consistently as the process runs, not reconstructed afterwards. Human judgement is not replaced; what changes is knowing how often that judgement was right.

Digital interviews are conducted remotely, either live or asynchronously. In the asynchronous format the candidate records answers to preset questions and the panel reviews them whenever convenient. Managed inside the ATS, they stay attached to the application together with each reviewer’s notes. Asynchronous rounds compress timelines, but requesting one too early pushes away passive candidates and the most sought-after profiles.

Diversity hiring metrics measure the composition of applicants and hires along the dimensions an organisation considers relevant, and above all the pass-through rates between stages for each group. Comparing those rates is what pinpoints where the process loses fairness, something the final count of hires does not show. On the data side, collection must be voluntary and aggregated, with clear legal bases.

Duplicate detection spots profiles that refer to the same person, created at different times through direct applications, imports or referrals, and proposes merging them while keeping the history of both. Rather than relying on the email address alone, which changes over the years, it cross-checks several signals; skip this cleanup and metrics inflate, while a candidate you have already assessed receives contradictory messages.

Digital recruiting is hiring run through digital channels and tools, from posting roles to interviewing remotely and analysing process data. It is not simply the same steps moved online. It changes how candidates first meet the organisation and how quickly they expect an answer. For younger candidates in particular it is now the assumed standard rather than a differentiator.

E-signatures let candidates sign offer letters, contracts and onboarding forms remotely. Every document carries a timestamp and a tracked status. In Europe the eIDAS regulation distinguishes several levels of signature, and the right level depends on how binding the document is. In practice the hours saved between offer and acceptance matter most, because that is exactly the window where counter-offers arrive.

Email automation sends predefined messages when something happens in the process, an application received, an interview reminder, a rejection notice, with sequences built per stage that stop on their own once the candidate replies. To work they need a minimum of genuine personalisation, at least the person’s name and the position: an obviously automated message is worth little, but silence is worth less.

An employee referral programme asks employees to put forward people from their network for open positions, usually with a reward paid once the hire is confirmed after probation. Two things make it work: referring must be easy, and the referrer must hear back. Cost per hire is often the lowest of any channel. The catch is that the mechanism tends to replicate the existing composition of the workforce, which is why it needs balancing with open channels.

The employee retention rate is the share of employees on staff at the start of a period who are still there at the end, over the starting headcount. The standard formula excludes people hired during the period, so joiners who stay do not lift the figure. New hires are measured separately, through retention at six or twelve months. Keeping the two apart stops an onboarding problem being read as workforce stability, or the reverse.

Employer branding is the work of defining and communicating what an organisation offers the people who work there, from growth prospects to the way decisions get made. It runs through published content and employee testimonials, but above all through consistency between what is promised and what candidates experience during hiring: when the two diverge, the bill arrives as declined offers and early resignations.

eNPS applies the Net Promoter Score logic to employment: on a scale from zero to ten, how likely is the person to recommend the company to an acquaintance as a place to work? The share of detractors is subtracted from the share of promoters. The acronym stands for Employee Net Promoter Score, though the Employer form also circulates. The absolute number matters less than the trend across surveys, and the open question next to the score is usually the most useful part.

Event management in recruiting covers the occasions where a company meets potential candidates, career days, industry fairs, open days, webinars, and includes scheduling, collecting registrations and, above all, recording the contacts in the recruiting database. Skip that last step and the people you met stay on scattered spreadsheets, to be recontacted when it is already too late.

The EU AI Act is the European regulation on artificial intelligence, which sorts systems by risk and attaches heavier obligations as the risk rises. Systems used to recruit or select people fall into the high-risk category. That classification brings requirements on transparency, human oversight, data quality and traceability of decisions. It binds both the organisations that build these systems and the employers that deploy them, and it applies to systems used in the EU regardless of where the provider is based.

The EVP is what an organisation offers the people who work there, taken together: pay, growth, the content of the work, culture, flexibility. Employer branding is how that offer is communicated, which is why promising what the organisation does not deliver produces early leavers rather than better applicants, and why a credible EVP passes one test: current employees would describe it the same way.

Executive search is the structured version of head hunting, applied to leadership appointments. A search firm maps the market, produces a longlist of people currently doing comparable work, approaches them confidentially and manages the process to appointment. Engagements are typically retained rather than paid on success, because the mapping work has to happen whether or not a particular candidate says yes.

The first-year attrition rate is the share of new hires who leave within their first twelve months, out of everyone who joined in the same period. It should be read together with the sourcing channel, the role and the manager, because that is where patterns surface: an excellent time to fill loses its value if one hire in four walks away almost immediately.

GDPR compliance in recruiting is the set of rules that make processing candidates’ data lawful: a legal basis, a clear privacy notice, retention periods for CVs, a record of processing activities and answers to deletion requests. Alongside these sit the security measures, including control over who can see which data. This is not a formality you tick once: a CV archive kept longer than necessary remains a sanction risk for as long as it exists, and should be governed by the system rather than by the memory of whoever uses it.

Global hiring is recruitment run across several countries on a single process framework, while respecting local differences in language, contracts, currency and data regulation. It calls for a structure that keeps subsidiaries separate yet holds evaluation criteria and reporting to a comparable standard, so that numbers born in different markets can be read side by side without forcing headquarters’ process on every site.

Hiring analytics is the structured reading of the data a selection process produces: how long stages take, applications per channel, conversion rates, costs, quality of hire. The numbers only become useful when they come from the system people work in every day, not from manual extracts reconciled at the end of the quarter, and that foundation is what lets a budget request be backed with evidence.

Hiring budget tracking monitors recruitment spend against the budget assigned, by individual search, department or period, covering paid job ads, agencies, assessment tools and interview travel, each booked against the position that generated the cost. The result is twofold: knowing what filling a role really costs, and spotting overruns while the search is still open.

The hiring funnel pictures the candidate journey as a series of progressively narrower stages: from viewing the ad to applying, from screening to interviews, through to offer and start date. At every transition you measure how many people move on and how many drop out. Suppose applications are plentiful but interviews are scarce: the funnel points straight at screening. That is the funnel’s purpose, finding the exact point where candidates are lost instead of tweaking the whole selection at random.

The hiring manager portal is the area reserved for line managers. There they see only the searches that concern them, review the profiles in play, leave an evaluation, approve or reject. The interface shows just the essentials, because it is built for someone who logs in a few times a month. It replaces the emailing of CVs back and forth, which scatters comments and makes it impossible to reconstruct who decided what.

Hiring manager satisfaction measures how line managers rate the recruiting team’s work: the relevance of the profiles put forward, the speed of responses, the clarity of updates. It is gathered through a few questions when the search closes, while the judgement is still tied to a concrete case, and it helps separate a genuine market problem from a misalignment on the profile being sought.

Hiring SLA monitoring checks the timings agreed between recruiters and line managers, how soon the first shortlist lands, how long the manager takes to give feedback, when the interview gets scheduled, with the system measuring each step and flagging delays as they form. It makes visible something rarely said out loud: many searches are slow because of internal waiting, not a shortage of candidates.

Source effectiveness analysis compares sourcing channels not on the volume of applications they generate but on how many hires they deliver and how long those hires stay. Judged on volume alone, the loudest channel wins even when it does not bring the right people. The analysis therefore requires tracking origin all the way to the final outcome, separating paid ads, direct search, referrals, social media and the internal database.

HR software is the category of applications used to run people processes: hiring, employee records, time and attendance, learning, performance. It is not one product but several, and most organisations run more than one and connect them. Knowing whether a tool is built for hiring or for administering the employment relationship saves a lot of wasted evaluation, because the two solve different problems and rarely do each other’s job well.

HR analytics is the analysis of workforce data across the whole employment relationship: labour cost, turnover, absence, performance, learning, and hiring. Its purpose is to ground decisions in evidence rather than impression. Its usual constraint is the quality of the underlying data rather than the sophistication of the analysis. The part that covers hiring alone has its own name, hiring analytics.

A head hunter is a recruiter who approaches people directly in the role they currently hold, rather than working from applications. The work is confidential on both sides, it targets named individuals rather than a pool, and it is normally engaged for senior or scarce profiles where the right person is not looking. Fees are usually a percentage of first-year salary. Applied to leadership appointments and run as a mapped, retained process, the same practice is called executive search.

Inactivity alerts flag a candidate who has sat in the same stage beyond a set threshold, or an open position that has shown no movement for too long. They work as automatic reminders to the recruiter or hiring manager responsible. The threshold needs tuning stage by stage. A delay that is normal between application and screening is not normal between a final interview and the decision.

The internal hire rate is the percentage of positions filled by people already in the company, through promotion or a move between functions, over all hires in the period, and it tells you how well an organisation develops and holds on to the people it already has. Read it by job family and level, because a high aggregate figure can hide areas where mobility is blocked.

Internal mobility covers every role change inside the company: vertical promotions, lateral moves between functions, transfers between sites, whether proposed by the organisation or requested by the person. The self-nomination side rests on explicit mechanisms, openings on an internal channel, rules on who can apply and after how long in role, confidentiality towards the direct manager. Where that path is unclear, people prefer to look outside rather than expose themselves inside.

An interview kit is the pack of questions, prompts and evaluation criteria prepared in advance for a role and shared with everyone who will interview for it. It lists the competencies to probe, the questions attached to each, and a rating scale illustrated with examples of strong and weak answers. It is the input side of a structured interview: the kit sets what gets asked, the scorecard captures what comes back.

The interview no-show rate is the share of scheduled interviews the candidate does not turn up to, out of all appointments on the calendar; break it down by stage, source channel and the gap between booking and interview date, since the more days pass, the higher the rate climbs. When it rises, look for friction first: missing reminders, long waits or cold communication all push people towards a competing process.

Interview scheduling is the organisation of appointments between candidates and evaluators: connecting to company calendars, proposing free slots, sending invitations and reminders, handling reschedules, up to the hard cases such as panels or different time zones. Speed matters more than it seems, because every day saved in getting a slot booked is one less day in which the candidate can accept elsewhere.

The interview-to-offer ratio shows how many interviews it takes, on average, to reach the point of making an offer. A high value means people who are not close enough to the profile are reaching the interview stage, so the problem sits upstream, in the brief or the screening; a very low one can point to a permissive selection. Read alongside the acceptance rate, it tells you how evaluators’ time is being spent.

A job approval workflow is the sequence of sign-offs required before a search can start and the ad go live. The typical steps involve the function head, finance for the budget check and the HR director. The system routes the request, notifies whoever has to decide and keeps the trail. Without that filter, a search opened informally can reach the offer stage without ever having been authorised.

Job board integration is the technical link between the recruiting system and job advertising portals: the position goes out to multiple destinations without being rewritten, and applications flow back into the pipeline already tagged with their source. That source attribution is exactly what makes channel comparison possible; without integration it would have to be rebuilt by hand, which in practice never happens.

Job cloning duplicates an existing position to create a new one, which inherits its description, requirements, stages and publishing destinations, all of them editable. It comes in handy for recurring roles and for multiple openings of the same profile across different sites, with one warning: copying an ad without rereading it propagates outdated requirements or salary references that no longer hold.

Job description templates are predefined structures for writing ads, with the sections already laid out: role context, responsibilities, must-have requirements, what the company offers and pay information. When dozens of different people are writing, they keep the company voice consistent. In the EU, the pay transparency directive (2023/970) has made drafting them more delicate still. National implementations can be stricter than the directive itself.

Job distribution is the simultaneous publication of a position across the chosen channels, from the careers site to generalist portals, niche boards and social networks, all from a single draft, with the system adapting the format each destination requires, tracking deadlines and taking the ad down once the search closes. Without that automation, filled positions stay online and keep collecting applications that will never get a reply.

The job offer acceptance rate is the percentage of offers accepted out of all offers made; the same indicator also circulates as the offer-to-acceptance ratio. A rejected offer burns weeks of work and reopens a search that looked closed. That is why the number should always travel with the reasons for declining: the same rate can stem from below-market pay, an overlong process or role expectations poorly set during interviews.

A job requisition is the formal request with which a function asks to open a position, whether a replacement or a new hire, stating the role, the rationale, location, contract type, expected salary band and desired start date. The process begins with this document and the approval workflow attaches to it: keeping it in the system rather than in an email gives every search a traceable origin.

Job-level reporting analyses recruiting metrics for a single open position rather than the company total. For each search it shows applications received, the yield of each channel, how long every stage took, the number of interviews and the final outcome. It lets you compare similar searches and isolate the ones behaving abnormally. In conversations with function heads it makes the difference, because an average number convinces nobody.

A job posting is the advert through which an open role is made public on the channels where candidates are, and its performance is decided mostly by the text: a title matching what the role is actually called in the market, requirements split between essential and desirable, and pay information, which under EU pay transparency rules must now be given to candidates and which several member states require inside the advert itself. An advert written to describe the company rather than the work attracts generic applications. The cost of that lands on screening.

A kanban view lays the recruiting pipeline out in columns, one per stage of the process, with candidates shown as cards that move from column to column as they advance; dragging a card updates the application status and the activities linked to it. One glance shows where people are piling up and where the flow has stalled, without opening a report.

Keyword matching compares the text of a CV against the terms that describe the position, skills, technologies, certifications, job titles, and flags the occurrences to guide the reading. The comparison is lexical rather than semantic. It recognises neither synonyms nor equivalent experience described in different words. Better, then, to treat it as reading support rather than an automatic rejection criterion.

Lead time to interview measures the average number of days between an application arriving and the first actual interview with that person, isolating the part of the process that depends on internal responsiveness: screening, sharing with the hiring manager, coordinating calendars. When it stretches, drop-off follows, because an interesting candidate receives other offers precisely while left waiting.

Mass import loads large volumes of applications, candidate records or positions in a single operation, from a structured file or a feed coming out of another system. It involves field mapping, duplicate checking and a report on the rows that were rejected, and it is the critical step of any migration: the quality of the incoming data conditions every search that follows.

Mobile recruiting means running selection from smartphones and tablets. It cuts both ways: the candidate applies and uploads documents from a phone, the recruiter reviews profiles away from the desk. It calls for short forms and light pages. A large share of traffic to job ads arrives from mobile, and a form designed for desktop translates into abandoned applications.

Multi-language support is a system’s ability to present the interface, careers portal, job ads and automated communications in the language of whoever receives them. It goes well beyond translating labels, because date formats, alphabets and legal texts change from country to country too: without this foundation, running searches in several markets means fragmenting the process by subsidiary.

Multi-step forms split the application across several successive screens, starting with the essential data and leaving the more demanding questions for the end, with visible progress softening the discouraging effect of one very long form. The order of the questions affects completion too: a mandatory field asked too early is an application that may never arrive.

Offer management gathers the activities that lead from the decision to hire to the signature: building the financial proposal, internal approvals, sending it to the candidate, electronic signature and response tracking, including negotiated versions and the reasons for declining. Structuring this stage stops a well-run selection from dissolving into days of waiting between one approval and the next.

The offer-to-acceptance ratio is another name for the job offer acceptance rate: the share of formal offers the candidate accepts, calculated over a period or across a job family. Both expressions circulate and point to the same indicator, so it pays to pick one and stick with it within the same reporting; the full definition, with the rejection reasons that should always sit beside the number, is under Job Offer Acceptance Rate.

Onboarding is the induction path of a newly hired person: tools and access handed over, team introductions, initial training, first objectives. It does not end on day one but stretches across the first months. Before it comes the window between signature and start date, when the risk of second thoughts is highest. Connecting the ATS to the systems that manage the employment relationship shortens that gap and avoids re-keying personal data, documents and agreed terms.

The open position rate is the percentage of vacant positions against planned headcount, measured on a given date or as a period average, capturing how much of the organisation is running understaffed. Read by function or by site it shows where coverage is chronically difficult, which from a planning angle helps decide where to start searches ahead of need instead of chasing them.

Outreach templates are pre-set messages used for the first contact with potentially interested candidates, with variable fields pulling in the name, the role and references to the profile. They are organised by job family and by channel, measured on open and reply rates, and they keep the tone consistent on one condition: that the personalised part stays genuine and does not turn into a placeholder.

A panel interview is one in which a candidate is heard by several evaluators at once, typically the function head, an HR representative and a colleague from the future team, each with an assigned area to probe. Not to be confused with a group interview, where it is the candidates who come in numbers. Ratings are collected separately and compared only afterwards, so the first speaker’s impression does not sway the others.

Passive candidate engagement covers the activities aimed at professionals who are not looking for a job and therefore do not answer ads: direct outreach, industry content, presence in professional communities. Cycles are long and the right measure is the quality of the conversations rather than immediate applications, yet for scarce roles this often remains the only way to reach the people who have the skills required.

Performance metrics are the dashboard of indicators chosen to steer recruiting. The difficulty is not calculating them but choosing few. A minimal set usually covers one measure of time, one of cost, one of conversion and one of quality, because each on its own can be improved by making the others worse. Whoever optimises time to fill without watching how long hires stay fills positions quickly and reopens them six months later.

Pipeline forecasting estimates how many applications and interviews it will take to fill the positions on the plan. The calculation starts from the historical conversion rates of each stage and the average times observed. That shows in advance whether the current pool is sufficient or the sources need widening. Herein lies the difference between a function that plans its searches and one that opens them once the seat is already empty.

Pipeline management is the organisation of candidates along the stages of selection, from first contact to final decision, including the strong people not hired who remain available for future searches. It requires clear statuses, explicit criteria for moving forward and periodic maintenance of dormant profiles; without those rules the pool accumulates applications nobody will ever review again and becomes unusable.

Pipeline velocity is the speed at which candidates travel through the entire process, from application to decision. It counts how many people complete the journey in a given period, and in how much time. The overall flow is its subject, while the detail of how long people sit in each phase is read through time in stage. A slow pipeline is not necessarily a badly run one, since it may contain searches parked while awaiting a decision that does not sit with recruiting.

Pre-screening questions are asked at the point of application to check objective, binding requirements: certifications, willingness to relocate, legally required qualifications, languages. Based on the answers, candidates can be ranked or excluded automatically. The questions should therefore cover only genuine deal-breakers. Wording matters just as much, because a badly phrased question silently rejects people who qualify.

Privacy mode limits which platform users can see a candidate’s personal data, hiding or masking details such as name, age, photo, contact information or origin, and it can apply to a single stage, a specific role or an entire process. It answers two needs at once: the data minimisation the GDPR requires, and the wish to reduce implicit bias in the first evaluation.

Pay transparency is the set of disclosure duties on pay introduced by EU directive 2023/970, which member states were required to transpose by June 2026. It works on three levels: information to candidates, including the starting salary or range and a ban on asking what someone currently earns; the right of employees to know the criteria and pay levels that apply to them; and periodic reporting on the gender pay gap. National implementations differ. Several go further than the directive, for instance by requiring the pay range inside the job advert rather than merely before the interview.

Psychometric tests measure attributes that are not visible on a CV, usually cognitive ability or personality traits, using instruments validated on large samples. Ability tests predict performance reasonably well across many roles; personality questionnaires describe preferences rather than competence and should never be read as a pass or fail. Whatever the instrument, results belong alongside other evidence, not as a gate that removes candidates before anyone has spoken to them.

Quality of hire assesses how a hire turned out months later, combining performance in the role, retention, time to become fully autonomous and the manager’s judgement. Which indicators to track, and when to measure them, must be fixed up front rather than reconstructed afterwards. This is the metric that ties selection to real outcomes: without it, speed and cost get optimised with no idea whether the people chosen were the right ones.

Real-time collaboration covers the moments when several people work on the same application at once: a panel where each interviewer fills in their own scorecard during the interview, or a debrief where scores appear as they come in. Simultaneity has one drawback. Seeing a colleague’s judgement before forming your own influences it, so scores are revealed only after everyone has submitted. Shared working tools in the broader sense are covered under Collaboration Tools.

The recruiter dashboard brings together on one screen the searches assigned to you, tasks coming due, candidates waiting for a next step and progress indicators, usually filterable by role, location or period so that each person sees their own scope. Its practical merit is making stalled positions visible: the ones nobody reopens until a reminder lands.

The recruiter efficiency rate divides completed hires by the number of active recruiters over a period, usually a quarter or a year. Taken alone it misleads, since a specialist search demands very different effort from a high-volume role, so it should be read alongside role complexity and quality of hire; otherwise it rewards quantity at the expense of quality.

Recruitment marketing applies the logic and tools of marketing to attracting candidates: defining the profiles to reach, producing content about the company and its roles, maintaining a presence on the channels where those people spend time, measuring what each source returns. It works upstream of the application, and on people who are not job-hunting: for contested profiles, the number and quality of applications are decided before the ad ever goes out.

Referral tracking records who put a candidate forward and follows that application stage by stage to its final outcome. Every referral stays linked to the employee who made it, the position and its current status, so rewards are assigned without dispute. It also makes measurable a channel that is often among the most effective yet invisible in reports.

The referral-to-hire ratio relates the referrals received to the hires they produce. It can be expressed in two equivalent ways: as the percentage of referrals that end in a hire, or as the number of referrals needed for one hire, in the form ten to one. Volume matters when reading it. A handful of highly targeted referrals produces excellent numbers that mean very little.

Rejection email templates are pre-written messages for communicating a negative outcome, personalised with the candidate’s name, the position and the stage where the journey ended. Few moments weigh more on the memory a candidate keeps of the company. That is why it pays to keep separate versions for people screened out early and people who reached a final interview: to someone who sat through three rounds, a standard two-line formula reads as a discourtesy.

Remote hiring covers selection practices for roles performed entirely at a distance, with interviews, assessments and onboarding all run remotely. It means evaluating specific skills such as autonomy and written communication, handling the contractual and tax implications of the person’s country of residence, and structuring a process that leaves nothing to informal word of mouth, in exchange for a far larger candidate pool.

Requisition aging measures how many days a staffing request has been open without being filled, counted from approval. Viewed in age bands, it separates searches that are naturally long from those stuck because the profile is unrealistic or the hiring manager’s feedback never arrives; when it climbs, the signal is that the position needs renegotiating, not simply reposting.

Resume anonymization means hiding the data that says nothing about competence, such as name, age, gender, nationality and photograph, before the profile reaches the evaluator. It is applied mainly at screening and shortlisting, where the risk of unconscious shortcuts is highest. The effect is twofold. It reduces the weight of bias on the first cut, and it makes the criteria for deciding who to invite easier to defend.

The resume database is the central archive where every application received ends up, indexed and searchable by skills, experience, language or location. It is fed by spontaneous applications, past searches and sourcing activity, must be kept within the retention periods the GDPR allows, and is the first place to look when a position opens, before the ad is even published.

Role-based access control is the model where permissions are assigned to a role rather than to an individual. Whoever joins the company inherits the rights of the role they hold, whoever changes jobs changes rights with it, and whoever leaves loses them all at once. The advantage over individual permissions is that the rules stay few and auditable even when users are many. How the model is configured in practice is covered under Custom Roles & Permissions.

Recruitment is the process by which an organisation identifies, assesses and chooses the people it brings in, from defining the profile through to a signed offer. In everyday use the word covers the whole journey. Used strictly, it names the attraction and hiring activity, with selection reserved for the evaluation stage that follows. Talent acquisition describes the same work planned over a longer horizon, against future capability needs rather than a single vacancy.

A recruitment agency finds candidates on behalf of a client organisation, which keeps the hiring decision and, crucially, becomes their employer. Contingency agencies are paid only when a placement is made, so several may work the same vacancy in parallel; retained agencies are paid to run a defined search regardless of outcome. Because an agency introduces candidates the client has not sourced itself, the introduction has to be recorded to avoid later disputes over who found whom. Where the worker stays on the provider’s payroll instead, the arrangement is a staffing agency.

RPO is an arrangement in which an external provider runs all or part of an organisation’s recruitment, embedded in its processes and often using its systems and employer brand. It goes further than agency use, which is transactional: an RPO provider takes on the function itself, with agreed service levels. Organisations turn to it for hiring volumes that fluctuate sharply, or to build a capability they do not want to staff permanently in house.

Saved searches are filter combinations stored once and recalled in a click, so the same criteria on candidates or positions never need rebuilding. They can stay personal or be shared with the team, and often trigger an alert when new profiles matching the criteria appear. Beyond the time saved, sharing them means everyone hunting for the same profile hunts with the same parameters.

The scheduling assistant hands the choice of time to the candidate: they receive a link, see the genuinely free slots in the interviewers’ calendars and book for themselves, with confirmations and rescheduling handled automatically. It is the self-service variant of interview scheduling, whose entry describes the full process, panels and time zones included. What it removes is the email exchange over finding a date. Of all the waits in a hiring process, that one is among the easiest to eliminate.

A scorecard is the evaluation grid filled in during or straight after an interview: each criterion relevant to the role rated on a uniform scale and backed with concrete evidence. Each interviewer completes their own before seeing anyone else’s, which is what allows candidates to be compared on the same parameters rather than on impressions. It is the output side of a structured interview, and the document that explains a decision if it is ever challenged.

Smart alerts are notifications generated automatically when the system detects a condition that needs attention: feedback never entered, a position with no qualified profiles, a deadline drawing near. Unlike fixed reminders, they arise from the process data and suggest the action to take; the specific case of a candidate stuck too long in one stage has its own entry, inactivity alerts.

Smart matching automatically compares the profiles on file against a position’s requirements and returns a list ranked by fit, justifying each score with the skills detected. It works on CV content and application history, and it needs calibrating so it does not replicate past hiring patterns. For systems used in selection the AI Act requires effective human oversight; separately, the GDPR restricts decisions with a significant effect on a person being taken by automated processing alone, which is allowed only in defined cases and always with the right to obtain human intervention.

Sourcing channel ROI compares what each source of applications costs with the value it produces, measured in hires rather than in CVs received. Every application has to be attributed to its channel of origin, with direct costs such as job ads and agencies added to the time the team spends. The typical result is discovering channels that generate plenty of traffic and no hires, and moving budget accordingly.

Stage conversion rates are the full sequence of candidate conversion rates, read along the whole funnel instead of at a single step. Lined up, they show where you lose the most people and whether the bottleneck is the quality of applications or the slowness of evaluations. They also let you count backwards. Knowing the average conversions, you can estimate how many applications it takes to close a position.

Social recruiting means finding and engaging candidates through social networks, using them not only to post openings but to identify profiles, build relationships and be visible as an employer. Its real value is with passive candidates, who are not looking and would never answer an advert, and it rewards consistency: results come from a presence built over months, not from a single campaign.

Sourcing is the practice of finding candidates actively, going to where they are rather than waiting for applications. It draws on internal databases, professional networks, industry communities and targeted searches. The output is a direct approach instead of an inbound application. When a profile is scarce, or when adverts are not generating enough qualified applications, this is the lever that moves things.

A structured interview asks every candidate for a role the same questions, in the same order, scored against criteria agreed before anyone is interviewed. The point is comparability: when questions drift with the conversation, what gets compared is the rapport each candidate built, not their suitability. Structured formats predict job performance better than unstructured ones and leave a defensible record if a rejected candidate challenges the decision. In practice it is assembled from two pieces that have their own entries here, the interview kit and the scorecard.

A semi-structured interview keeps a fixed core of questions for every candidate but leaves room to follow up on what an individual answer opens up. Compared with a fully structured interview it trades some comparability for depth, which is usually the right bargain for senior or specialist roles where the interesting information is not on the question list. The fixed core still has to be scored the same way for everyone, otherwise this is simply an unstructured conversation with a plan attached.

STAR is the framework used to structure answers in a competency-based interview: Situation, Task, Action, Result. It gives the interviewer a way to check that an answer contains what it needs to, since candidates often describe a context at length and never say what they personally did or how it ended. Interviewers use it as a prompting tool, asking for the missing element rather than accepting a partial answer.

A staffing agency supplies workers who remain employed by the agency while working for the client, typically for temporary, seasonal or project-based needs. That distinguishes it from a recruitment agency, which places a candidate onto the client’s own payroll. The distinction matters legally as well as commercially, because the employer obligations sit with whoever holds the contract of employment.

Tag management covers creating, editing and maintaining the labels used to classify candidates, positions and activities beyond the structured fields. It works on one condition, an agreed vocabulary pruned regularly: duplicate tags, or tags everyone invents freely, make searches unreliable, while a well-kept scheme lets you find a profile again years later.

Talent pipeline health asks whether the profiles gathered for key roles are sufficient, current and still interested, not just how many there are. It is read by crossing coverage per role, the date of the last meaningful contact and the share of people who reply when approached again. The difference it captures is the one between a living archive and a list of names: with the first, a search starts ahead; with the second, from zero.

A talent pool is the organised set of profiles already in contact with the company, kept available for current or future positions. It spans candidates not selected, people found through sourcing and spontaneous applications. It needs segmenting by job family and feeding through relationship-building, otherwise it ages quickly. Well maintained, it means a search starts from people already known, and time to fill shrinks.

Third-party integrations connect the ATS to the tools the company already uses: calendars and email, job boards, the HR management system, electronic signature. Running through APIs or pre-built connectors, with the data flow defined as one-way or bidirectional, they remove double manual entry, one of the most common causes of misaligned HR data.

Time in stage measures how long candidates sit in each phase before moving to the next or leaving the process. Analysed phase by phase, it isolates the exact point where things slow down: often the wait for feedback or the scheduling of an interview, not the evaluation itself. Because it points to time that depends on internal decisions, it is among the easiest metrics to act on quickly.

Time to fill counts the days between approval of the staffing request and the chosen candidate’s acceptance of the offer. It therefore includes the time spent defining the profile and attracting applications. Time to hire leaves that part out, starting only when the person eventually hired enters the process. What time to fill describes is the organisation’s ability to answer a need, not just the speed of the people selecting.

A time-to-hire tracker measures the days between the moment the person eventually hired entered the process, meaning their application or, if actively sourced, the first contact, and their acceptance of the offer. A single average hides enormous gaps between easy-to-find profiles and specialist searches, so read it by job family and seniority. Broken down this way, it sets realistic expectations with hiring managers and shows whether corrective actions worked.

Talent acquisition is the strategic approach to bringing capability into an organisation. It looks past the open role to the skills the business will need, covering relationships with potential candidates, the upkeep of talent pools and the protection of the employer’s reputation. What separates it from recruitment is the time horizon, and with it what counts as success: a filled vacancy on one side, a bench ready before the vacancy appears on the other.

Talent attraction covers everything an organisation does to become desirable to the professionals it wants to hire, before any role opens: the employee value proposition, visibility, how clearly jobs are described, the experience applicants get. It sits upstream of selection, and no assessment process can compensate for it, because if the right person never applies there is nothing to evaluate.

Workflow automation has the system carry out the repetitive actions of selection according to defined rules: moving a candidate to the next stage, sending a message, assigning a task, chasing an evaluation. Designed properly it starts from the real process, mapping what must happen and when rather than automating steps that are already inefficient, and the time it frees up goes to relationship work, where the human contribution makes the difference.