Harmony HR
1 How recruitment works2 Role, criteria, plan3 Funnel, statuses
4 Screening5 Interview process6 What we assess7 Motivation and signal8 Assessment, grades, AI9 Decisions and feedback10 Candidate experience
11 Offer management12 Preboarding
13 Metrics and analytics14 Hiring economics15 Pipeline, mobility, referrals16 Operational rhythm
A Materials navigatorB Mini-glossaryC Sources and disclaimersD RegulationsE Template libraryF BDM and Backend case studiesG Data, AI, and privacyE EpilogueH AI prompt library
Home/Chapter 13

Chapter 13. Metrics and Analytics

pp. 222–241
Part IV cover for management and business impact
Part IV coverThe business layer of recruitment: analytics, economics, talent pipeline, and operating rhythm.
Recruitment analytics
Recruitment analyticsA view of the core metrics that help the team understand where the funnel is actually breaking.

13. SOP and procedure fragments

SOP: from accepted offer to start date

Field Description

Purpose Turn an accepted offer into a prepared start without loss of

responsibility.

Scope All accepted offers for employees and contractors where on-

boarding is mandatory, as well as agency-filled positions where

the client process includes coordination before start.

Roles The recruiter provides context handover; HR manages documents

and preboarding; the hiring manager owns the first-week plan;

IT/administrator handles equipment and access; the agency

manages the check-in contact with the candidate, where applicable.

Inputs Accepted offer, start date, approved terms, candidate contact,

manager, work format, required systems, known risks.

Steps 1. Confirm offer acceptance. 2. Start preboarding. 3. Send the

candidate next steps. 4. Create a context handover pack. 5. Assign

readiness tasks. 6. Conduct check-ins. 7. Confirm start. 8. Update

ATS and close the loop.

SLA / deadlines Process begins on offer acceptance day; readiness is checked

3–5 days before start; final confirmation is sent 1 day before

start.

Mandatory fields Candidate, role, start date, responsible person, tasks, risks,

communication dates, final status.

Outputs Employee started; non-start after offer is documented or start

plan is updated with responsible person and reason.

Exceptions Any change to compensation, role title, work format, or start

date must be approved and documented before it is communicated

as final.

Metrics Start rate, non-start after offer rate, readiness completion,

first-week blocker rate.

Example A candidate accepts the offer on Monday; HR sends next steps,

the manager writes the first-week plan, the IT request should be

ready by Friday, the recruiter checks for counter-offer or non-start

risk the following week.

SOP: role closure retrospective

Field Description

Purpose Close a vacancy as a learning cycle, not merely an administrative

status.

Scope Priority roles, roles difficult to fill, roles with offer refusal or

non-start risk, agency fills, and any roles selected for monthly

process review.

Roles The recruitment lead facilitates; the recruiter brings the funnel

and candidate data; the hiring manager brings the role view and

assessment; HR brings the preboarding and assessment fairness

view; the agency/client responsible person joins where relevant.

FieldDescription
InputsFunnel, SLA, source, rejection reasons, assessment cards, offer data, preboarding blockers, candidate feedback where available.
Steps1. Review role goal. 2. Review funnel and SLA. 3. Review assessment and offer. 4. Review preboarding and start readiness. 5. Identify lessons. 6. Update templates, criteria or process. 7. Assign owners.
SLA / deadlinesWithin 1 week of start for priority roles; within 48 hours for urgent process failures.
Mandatory fieldsLessons, decisions, template changes, owners, deadlines, metrics to track.
OutputsRetrospective note, updated SOP items, action log.
ExceptionsDo not include sensitive candidate details beyond what is needed for process learning.
MetricsRetrospective completion, action completion, repeat problem rate.
ExampleA role has repeated rejections due to compensation; the retrospective schedules a pay band review before the next launch.
14. Implementation plan and maturity model — 1 day
ActionResult
Assign a responsible person from accepted offer to startResponsibility is not lost after offer
Create a start readiness checklistDay one becomes manageable
Introduce candidate check-in after offer acceptanceSilence risk is reduced
Add non-start after offer and start statusLosses between offer and start become visible
Define a strong finalist ruleFinalists are closed respectfully
1 week
ActionResult
Set up context handover pack templateManager, HR, IT and buddy receive the right context
Run cleanup for closed vacanciesATS and communications become clean
Add role retrospective agendaClosed roles deliver lessons
Check first-week blockers for recent hiresPreboarding issues become visible
Agree agency post-offer-acceptance protocolPosition closure risk is managed before start
1 month
ActionResult
Measure start rate and non-start after offer rateAccepted-to-started conversion is visible
Run 3 retrospectivesRepeat lessons emerge
Update offer and preboarding templatesChapters 11 and 12 join into one process
Check strong finalist reactivation qualityPipeline is replenished intentionally
Include preboarding metrics in monthly reviewRole closure becomes part of the operational rhythm
Maturity model
LevelWhat it looks like
ChaosAfter offer acceptance, silence follows; day one is prepared at the last moment
Managed processThere is a preboarding owner, a readiness checklist, context handover and a candidate cadence
Data-drivenThe team reviews start rate, non-start after offer, blockers, closure loop and retrospective completion
Business partnerLessons from closed roles change criteria, compensation, process and workforce planning
AI-assisted operationsAI helps with checklists and summaries; a person verifies privacy, facts and commitments
What to take from this chapter / where to go next
What you needWhere to find it
Terms and short definitionsAppendix B. Mini glossary
Ready-made procedures and SLAAppendix D. Ready-made procedures and processes
Templates for useAppendix E. Template library
End-to-end BDM and Backend examplesAppendix F. End-to-end BDM and Backend cases
Full AI prompts for this chapterAppendix H. AI prompt library, section H7. Offer and preboarding

How to use this chapter

Working scenario. The HRD opens a report and sees: there are many vacancies, there seem to be enough candidates,

but hiring is not accelerating. Recruiters talk about a tough market, managers about a weak shortlist, the agency

about slow feedback. The numbers are all there, but there is no conversation about solutions: where exactly is the

bottleneck, who owns it, what are we changing this week and how will we know things have improved.

What actually broke here: the report exists but there is no management action. Metrics are not needed to punish

recruiters or to build a pretty dashboard. They are needed to find bottlenecks: where candidates are lost, where a

decision stalls, which source delivers quality, why offers are declined, which vacancies overload the team, where SLA

is breached and where there is a personal-data risk.

Read this chapter as a practical working module on recruitment analytics. If you are a recruitment lead, start with

the metrics map and the weekly review. If you are the HRD, use the sections on dashboards, interpretation and

management decisions. If you are an agency, focus on client reporting, feedback discipline and shortlist quality

protection. If you are an in-house recruitment team, use HarmonyATS reports as an example of a working loop:

vacancy, candidate, stage, rejection reason, SLA, recruiter, data-processing consent, source and funnel.

The chapter's golden rule: a metric is never a verdict. A single figure rarely explains the cause. Strong analytics

combine quantitative reporting, qualitative review and action with the owner. If the SLA report shows overdue

items, it does not mean "the recruiter is bad". It means: you need to understand the stage, owner, cause, business

priority, workload, decision-making authority and next step.

Remember in one phrase

A metric is only useful when it is followed by a decision with the owner.

If your task isGo to sectionWhat you will get
Quickly build a dashboard1–2Minimum metrics set and interpretation rules
Understand HarmonyATS reports3Report map and management questions
Find a bottleneck in the funnel4–6Funnel diagnosis, candidate movement, SLA and time-to-hire
Evaluate sources7Source quality without the volume trap
Understand rejections8Rejection reasons as a process quality signal
Manage recruiter workload9Recruiter report without turning it into an activity punishment
Monitor vacancies and consent10Vacancy report and data-consent report
Prepare for a meeting or audit11–12Weekly and monthly review templates
Use AI14Prompts with human review
Grab the reference16Terms, formulas, templates, prompts, related chapters

Minimum starting point

A good dashboard starts not with the number of charts, but with the questions the team is ready to act on.

Step What to do Artifact

1 Choose 6–8 metrics for weekly review: Minimum dashboard

funnel, SLA, sources, rejection reasons, offer,

workload

2 For each metric, record the question, formula, risk of Metric card

wrong interpretation and action

StepWhat to doArtifact
3Discuss not "who is to blame" but which stage, owner or criterion needs actionAction rule
4After the meeting, record the owner, deadline and verification metricAnalytics action log

1. What recruitment analytics is: a process, not reporting

Recruitment analytics is the discipline of regularly reading hiring data to improve the process. It answers not

"how much did we do" but "what is happening with the system and what needs to change". A good report should

lead to one of five decisions: change the process, change the criteria, rebalance workload, escalate the owner

or test a hypothesis. Bad analytics looks busy but helps no one. The team shows the number of CVs, interviews,

emails and calls, but cannot see why candidates never reach offer. Or it compares recruiters by the number of

added candidates without accounting for role complexity. Or it looks at time-to-hire but does not separate

feedback delay from genuine market absence.

Analytics typeWhat it showsWeak useStrong use
DescriptiveWhat happened"This month there were 120 candidates""120 candidates, but 70% lost at screening due to criteria mismatch"
DiagnosticWhy it happened"The funnel is poor""The funnel drops after the manager interview; reasons point to role mismatch"
OperationalWhat to do now"There are overdue items""7 candidates are waiting for feedback beyond SLA; owner is the hiring manager; deadline is today"
StrategicWhat to change in the system"We need people""Recruiter capacity is not the bottleneck; the bottleneck is client SLA on feedback and the pay band"
Reports to process map
Reports to processA bridge from dashboards and reports back to operational actions in the real process.

2. How to design a dashboard without the punishment trap

A minimum dashboard is best built around questions, not around every available chart. For a weekly review,

6–8 indicators suffice. For a monthly audit you can add trends, source comparison, rejection quality and

consent hygiene.

Question Metric Formula / reading What not to do

Where are candidates now? Candidates by stage Number of active candidates Do not equate a full funnel

at each stage with quality

QuestionMetricFormula / readingWhat not to do
Where are we losing candidates?Stage conversionCandidates who passed the stage / candidates who entered the stageDo not compare different roles without context
Where is it slow?Time at stage / SLA breachDays at stage and overdue candidates / active candidatesDo not blame the responsible person without understanding the delay cause
What fills the role?Time-to-hireDays from candidate entry to accepted offer / hire by company ruleDo not compare mass junior hiring with senior search
Which sources deliver quality?Source-to-stage / offer conversionCandidates from source who reached the stage / all candidates from sourceDo not choose a source on volume alone
Why do we reject or why are we rejected?Rejection reason mixShare of reasons by stage, role, sourceDo not use vague reasons as analytics
Where is the workload?Recruiter workloadActive vacancies, candidates in process, shortlisted candidates, actionsDo not count number of actions as quality
Where is the data risk?Consent coverageCandidates with valid consent / candidates requiring consentDo not ignore retention and deletion

3. HarmonyATS report map: which question

each report supports

Using HarmonyATS as an example, it is useful to organise reports by management question. A single report rarely

gives a ready answer; more often it provides input for review.

HarmonyATS report What question it answers What to look at Risk of misuse What to cross-reference

Resume-source report Which sources deliver not just Source-to-stage conversion, Close a channel with low Funnel with details, notes,

volume but quality? offers by source, rejection volume even though it delivers cost / effort per

reasons by source strong finalists source

Rejection report Why do candidates or the team Stop reasons by stage, role, Assume reasons are true If taxonomy is dirty notes, debrief,

halt the process? source, recruiter and manager candidate feedback

Candidate-movement What actually moved in the Stage changes, finalist Accept movement as Funnel, SLA, qualitative

report process? movement, recruiter actions progress review

Funnel-with-details Where is the bottleneck, Stage entries, pass-throughs, Compare different roles as Role complexity, hiring

report conversion and loss? rejections, sources and the same plan, market context reason patterns

Time-to-hire report How long does the path to Total days, days by stage, Make speed the sole Quality, offer acceptance,

hire take? loss along the way objective role complexity

SLA report Where have candidates stalled Overdue candidates, days Use as a public blame Owner, cause, blocker,

beyond the limit? overdue, vacancy and stage board escalation

HarmonyATS reportWhat question it answersWhat to look atRisk of misuseWhat to cross-reference
Recruiter reportWhat is the workload and working activity of recruiters?Added candidates, offers, rejections, actions, emails, meetings, comments, stage changesEvaluate a person on activity aloneVacancy complexity, result quality, workload
Vacancy reportWhich vacancies are active and where are candidates distributed?Active vacancies, candidates by stage, empty stagesLook at a snapshot without business priorityHiring plan, cost of unfilled vacancy, SLA
Data-consent reportWhich data can we store and use?Consent status, retention period, records without valid consent, bulk requestsTreat the report as a legal decisionLegal policy, candidate communication, retention procedure

4. Funnel with details: how to find bottlenecks,

not culprits

The "Funnel with details" report shows how candidates progress through stages and where they are lost. But a

funnel on its own does not say whether this is good or bad. High attrition at screening could signal strong

filtering or weak sourcing. Low attrition at interview could mean a quality shortlist or an overly lenient

assessment. The funnel is therefore read through role context, criteria and reasons.

Symptom in funnel Possible cause What to check Action

Many candidates at entry, Source mismatch, weak Source report, screening Refine source strategy and

few pass screening vacancy description, too notes, rejection reasons must-have criteria

broad search

Many pass screening, few Screening does not check Notes, assessment card, Add targeted questions in

pass the manager interview key risks manager feedback screening

Candidates reach the final, Criteria shift at a late Rejection reports, offer notes, Rebuild decision rule and

but offers are rare stage, weak decision rule expectations on pay pre-conditions check

Symptom in funnelPossible causeWhat to checkAction
rule, compensation issue
Funnel is full at early stages, empty at finalInsufficient funnel quality or process is too longStage conversion, time at stage, source qualityRemove unnecessary stages, strengthen source quality
Large share "on hold"Business is unsure about the role or budgetVacancy status, hiring owner notesReturn role to hiring plan review
Review fieldExample
Responsible personHiring manager
CauseManager on leave, no backup assigned
ActionLead assigns a reserve reviewer by 16:00
VerificationCheck at next weekly review

6. Candidate movement: movement worth discussing

The candidate-movement report is needed for a factual conversation: which candidates entered, moved, reached the

final, were rejected, returned or stalled. It is useful as material for a meeting but dangerous as a "who moved the

most cards" metric. Movement without quality can mean chaos.

What to look atManagement questionGood signalWarning signal
Stage changesIs the funnel moving?Transitions are linked to decisions and notesCards move without assessment facts
Finalist movementAre there real finalists?Movement towards offer is confirmed by assessment cardsFinalists appear without unified criteria
Returned candidatesWhy do candidates return?Strong finalist or reactivation by ruleReturns without updated motivation
No movement on a vacancyWhere is the funnel frozen?Low priority or role on holdActive role with no movement and no action
Recruiter actions alongside movementAre actions helping the process?Actions are linked to next stepsMany actions but no stage progress

For an agency, the candidate-movement report helps run a client meeting: not "we worked", but "here is what

happened with the funnel, here is where we need your feedback, here are the decisions blocking the shortlist".

7. Resume-source report: source quality instead of a volume race

You must not judge a source solely by the number of CVs. A good source may deliver fewer candidates but more

relevant screenings, final interviews, offers and hires. A poor source may fill the funnel, increase recruiter

workload and worsen candidate experience.

MetricFormulaWhat it showsLimitation
Source volumeCandidates from sourceFlow sizeDoes not show quality
Source → screeningPassed screening / source candidatesInitial fitDepends on screening strictness
Source → interviewReached interview / source candidatesQuality after recruiter reviewDepends on manager criteria
Source → offerOffers / source candidatesStrong quality signalSmall samples may distort
Offer acceptance by sourceAccepted offers / offers by sourceMotivation and process alignmentDepends on compensation and timelines
MetricFormulaWhat it showsLimitation
Rejection reason by sourceShare of reasons by sourceType of mismatchRequires clean taxonomy
Practical source review table:
SourceWhat we seeWhat to checkDecision
Job board delivers many inbound but low screening pass rateVolume is high, quality is weakerVacancy description, must-have criteria clarity, salary transparencyRefine description and screening filters
Referral delivers few candidates but high final-stage conversionQuality is high, volume is limitedAssessment fairness, source concentration, referral rulesGrow referrals without bypassing assessment cards
Direct outreach delivers low response but high interview pass rateDifficult but quality channelMessage relevance, role attractivenessImprove outreach and time allocation
Agency delivers strong finalistsExternal market access is workingFee vs cost of unfilled vacancy, shortlist definitionMaintain the agreement and feedback SLA

8. Rejection report: rejection reasons as a quality diagnosis

The rejection report is only useful with a clean reason taxonomy. If the team frequently selects "other",

"not a fit" or "weak", the report shows poor note discipline, not the market. A rejection reason must answer:

who ended the process, at which stage, due to which work-related factor or condition.

Reason categoryExamplesHow to use
Company rejection: skills gapNo evidence of must-have skill criteria, weak case, insufficient domain depthImprove sourcing, screening, assessment cards
Company rejection: role mismatchExperience from a different role family, level did not match, expectations divergedRefine role description and intake
Candidate rejection: compensationSalary, bonus, options, benefits did not match expectationsReview pay band or pre-conditions check
Candidate rejection: processLong wait, many stages, poor communicationImprove candidate experience and SLA
Candidate rejection: role / companyUninteresting tasks, manager risk, work format mismatchImprove realism of role description
TimelinesNotice period, availability, inability to start urgentlyPlan the funnel earlier
Offer / counter-offerAccepted another offer, stayed after counter-offerStrengthen pre-conditions check and offer strategy
Consent / data limitationCannot use data or represent the candidateUpdate the consent process

Example review: if many candidates reject on compensation at the final stage, the problem is not recruiter

activity. You need to look at the pay band, expectation management, market data, pre-conditions check and offer

approval speed. If many company rejections cite "role mismatch" after the manager interview, you need to go

back to screening and intake.

9. Recruiter report: workload, activity and

quality without micromanagement

The recruiter report can show added candidates, offers, rejections, actions, emails, meetings, comments and stage

changes. This is useful for workload review and training, but dangerous as a personal leaderboard table. A recruiter

on two senior executive roles will look very different from a recruiter on mass junior hiring. You must not compare

action counts without accounting for vacancy complexity.

Indicator What it may mean What to check before drawing conclusions

Few added candidates Complex role, narrow market, direct Vacancy complexity, response rate, source plan

search, weak source strategy

Many emails / actions High activity or lots of manual Stage results, automation, candidate quality

coordination

Many rejections Strict screening or weak source Rejection reasons, source mix

Many comments Good data hygiene or chaotic notes Note quality, usefulness for decisions

Few offers Complex roles, weak funnel, bottleneck Funnel, SLA, role priority, market

with the manager

High workload at final stage Coordination overload risk Calendar, manager availability, offer risk

A healthy recruiter work review sounds like: "Which roles are the heaviest right now, where is the bottleneck,

what support is needed, which data gaps are in the way?" An unhealthy review sounds like: "Why do you have fewer

added candidates?"

10. Vacancy report and data-consent report:

portfolio and data-risk control

The vacancy report provides a snapshot of active vacancies and candidate distribution across stages. Its purpose

is to help the HRD and lead see which roles need attention now: an empty funnel, too many stalled candidates,

overload at the final stage, a hold with no decision, no movement.

Vacancy snapshot What it means Action

Active role, 0 candidates after sourcing Source strategy is not working or Review intake, source plan and

the role is not a priority priority

Many candidates at screening, few interviews Screening has become the bottleneck or Check screening capacity and

the flow weakly matches the role criteria

Many awaiting feedback Manager / client has become the bottleneck Escalate to the owner

beyond SLA

Many finalists, no offer Problem with the decision rule, Run a final-stage review

compensation or approval

Long-active vacancy with repeated losses Role-market mismatch or weak Prepare business case / reset

offer role

The data-consent report is needed for operational control of personal data. It shows consent status, retention

periods, candidates without valid consent and bulk requests. This is not legal advice and not a replacement for

company policy, but the report helps the team avoid using data "from memory".

Consent signal Risk Action

Candidate without valid consent Cannot proceed under policy where Send consent request or suspend

consent is required use

Consent expiring soon Risk of losing future contact right Schedule renewal / deletion

review

Old warm pool without retention review Unmanaged database Run audit, archive, delete

or update

Bulk requests needed Risk of manual chaos Use approved template and

assign owner

11. Agency and in-house recruitment: one

analytics, different decisions

Agency and in-house recruitment teams look at similar reports but make different decisions.

Context What to look at Decisions Risk

Agency: delivery Shortlist conversion, client Refine client brief, protect fee, Client evaluates only CV

feedback SLA, source quality, change source strategy volume

candidate rejection reasons

Agency: account Vacancy priority, client Run reset with client, change Agency takes ownership of

management blockers, market feedback, expectations per agreement client bottleneck

rejection patterns

In-house recruitment Funnel, SLA, time-to-hire, Rebalance capacity, train Recruitment becomes a service

recruiter workload, manager managers, change process without influence

behaviour

HRD / leadership Vacancy portfolio, business Prioritisation, budget, policy, Too late to see systemic

priorities, cost of unfilled quarterly improvements risk

vacancy, consent risks

An agency report must show not just "how many candidates were sent" but process quality: criteria alignment,

assessment evidence in the shortlist, feedback discipline, source insights and offer risk. An in-house recruitment

report must show the business that hiring results depend not only on recruiters but also on hiring owners,

compensation, role clarity and decision speed.

12. Cases: how to read metrics in difficult

situations

Case 1. SLA breached but the recruiter is not the bottleneck

Field Review

Situation The SLA report shows 9 overdue candidates at the manager

feedback stage.

Risk The lead publicly blames recruiters, although feedback sits

with the hiring manager. Candidates lose trust, and the cause

is not fixed.

What to check Stage owner, interview date, manager availability, whether

there was a debrief slot, whether a backup decision-maker

exists, whether reminders were sent.

Recommended action Escalate to the hiring manager, set a fixed debrief window,

introduce a backup reviewer for leave and high-priority roles.

How to document "SLA breach: manager feedback, 9 candidates, avg overdue 3.4

days. Hypothesis: no protected feedback slot. Action: weekly

Tue/Thu debrief blocks, owner is HM, review next week."

Metric / next step Feedback latency, SLA breach rate by stage, candidate

rejection due to delay.

Case 2. A source delivers many CVs but almost no interviews

Field Review

Situation The resume-source report shows high volume from a job

board but low screening-to-interview conversion.

Risk The team celebrates a large funnel and overloads recruiters

with a weak flow.

What to check Rejection reasons by source, JD clarity, salary visibility, must-

have criteria, duplicate candidates.

Recommended action Refine the job post, add knockout questions, reallocate time

to direct outreach or referrals.

How to document "Source A: 62% inbound volume, 8% interview pass rate, top

reasons: role mismatch and salary mismatch. Action: rewrite

vacancy description, add salary range if policy allows, review

in 2 weeks."

Metric / next step Source-to-interview, source-to-offer, recruiter screening

hours per interview.

Case 3. Recruiter report shows low activity

Field Review

Situation One recruiter has fewer added candidates and emails than

colleagues.

Risk The lead draws a weak-work conclusion without accounting for

portfolio complexity.

FieldReview
What to checkNumber of active vacancies, role maturity, market scarcity, final-stage workload, agency/client coordination, result quality.
Recommended actionRun a workload review: offload final-stage coordination, provide sourcing support or change priority list.
How to document"Activity lower due to 3 senior roles, 11 final-stage interviews, high coordination load. Support: coordinator handles meeting planning; sourcer adds funnel for Role B."
Metric / next stepStage conversion quality, final-stage movement, recruiter capacity, closure action rate.
Case 4. Rejection report filled with vague reasons
FieldReview
Situation40% of rejections recorded as "other" or "not a fit".
RiskThe team cannot improve criteria, sources or candidate communication.
What to checkReason taxonomy, mandatory comments, interviewer training, ATS fields, examples of good notes.
Recommended actionUpdate the reason dictionary, ban "other" without a comment, run a 30-minute calibration on 10 rejections.
How to document"Vague rejection rate 40%. New rule: reason must link to criteria / candidate decision; 'other' requires a note. Audit next month."
Metric / next stepVague reason rate, note quality, rejection reason distribution by stage.

13. SOP: the recruitment analytics cycle

SOP: weekly recruitment analytics review

Field Process details

Purpose Identify current bottlenecks across active vacancies and assign

actions for the week.

Scope All active vacancies, candidates in process, SLA breaches,

offer risks, source issues, consent risks.

Roles The recruitment lead facilitates. Recruiters bring context.

The hiring manager joins for priority roles. The coordinator

updates the action list. The HRD joins monthly or for

escalations.

Inputs Vacancy report, funnel with details, SLA report, candidate-

movement report, rejection report, resume-source report,

recruiter report, data-consent report where relevant.

Steps 1. Start with priority vacancies. 2. Review SLA breaches by

owner. 3. Review candidates awaiting a decision.

4. Check funnel bottlenecks. 5. Review offer risks and rejection

reasons. 6. Check source quality for roles with weak funnels.

7. Check consent risks for the warm pool and reactivation.

8. Assign action, owner and deadline.

Mandatory fields Vacancy, metric signal, hypothesis, action, owner, deadline,

verification metric.

Output Weekly action list, escalations, updated candidate statuses,

notes for the monthly audit.

Metrics Action closure, SLA breaches, feedback delay, stalled

candidates, recurring bottlenecks.

SOP: monthly analytics audit

Field Process details

Purpose Identify systemic issues the weekly meeting does not resolve:

source strategy, criteria drift, manager SLA, recruiter workload,

consent hygiene, AI usage quality.

Scope The last 4–6 weeks or a full month across active and closed

vacancies.

Roles HRD / recruitment lead owns the process. Recruiters,

hiring-manager representatives, recruiting operations and

legal/HR compliance join by topic.

Inputs Trend exports or report snapshots: sources, rejections, funnel,

time-to-hire, SLA, recruiters, vacancies, consents.

Steps 1. Compare trends with the previous period. 2. Identify the top

3 recurring bottlenecks. 3. Check rejection reason quality. 4.

Review source quality and concentration. 5. Review recruiter

workload assessment fairness. 6. Review consent and retention

issues. 7. Select 1–3 improvement projects.

Output Monthly audit note, improvement backlog, owner list, policy /

SOP updates, training needs.

FieldProcess details
MetricsRecurring bottlenecks, source-to-offer, vague reason rate, recruiter workload balance, valid consents, action closure.
ActionResultOwner
Check the data-consent reportConsent risk is now visibleHR / legal responsible person
What to do in 1 month
ActionResultOwner
Run the monthly analytics auditRecurring bottlenecks identifiedHRD / lead
Update SOP on reasons and SLAData quality improvedRecruiting ops
Compare roles by complexityRecruiter work review becomes fairerLead
Prepare a business brief on priority bottleneckAnalytics is linked to business decisionsHRD
Update AI prompts and review rulesAI helps without harmProcess owner
Maturity model
LevelWhat analytics looks likeRiskNext step
ChaosData is collected manually before a leadership requestReports do not reflect the processSet up stages, statuses, reasons and SLA
Managed processThere is a weekly dashboard and base reportsMeetings can become number-scanningAdd action owners and verification metrics
Data-drivenProcess, capacity and budget decisions rely on trendsNumbers can be over-valued without contextMandatory qualitative review
AI-assisted operationsAI prepares hypotheses, briefs and data-quality checksAI can amplify bias or false confidenceHuman review, audit notes, governance policy
What to take from this chapter / where to go next
What you needWhere to find it
Terms and short definitionsAppendix B. Mini glossary
Ready-made procedures and SLAAppendix D. Ready-made procedures and processes
Templates for useAppendix E. Template library
End-to-end BDM and Backend examplesAppendix F. End-to-end BDM and Backend cases
Full AI prompts for this chapterAppendix H. AI prompt library, section H8. Analytics and economics

What to take from this chapter / where to go next

What you need Where to find it

Terms and short definitions Appendix B. Mini glossary

Ready-made procedures and SLA Appendix D. Ready-made procedures and processes

Templates for use Appendix E. Template library

End-to-end BDM and Backend examples Appendix F. End-to-end BDM and Backend cases

Full AI prompts for this chapter Appendix H. AI prompt library, section H8. Analytics

and economics

In short: this chapter owns the metrics and analytics for HarmonyATS. If you need a ready-made artifact, take it

from the appendices and leave the application logic in the chapter.

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