Workflow

How teams use Reerac end to end

Job setup → ranked shortlist → interviews → decision. AI handles volume; you keep control at every step.

Set criteria once, used for screening and interviews
Ranked shortlists without spreadsheet triage
AI Assisted, Full AI, and Recruiter interviews with transcripts
Scorecards and analytics for every cycle

How it works.

Three steps from job post to hire, at a glance.

1

Post a job + set criteria

Define role requirements and candidate filters once. Reerac uses this as your scoring baseline.

2

AI screens candidates instantly

CVs are ranked automatically so your team starts with the best-fit shortlist, not a backlog.

3

Run interviews + hire faster

Schedule AI Assisted, Full AI, or Recruiter interviews, review reports, and decide in days.

Typical outcomes

Benchmarks from active hiring pipelines

3–10days
Time to shortlist
vs. weeks of manual triage
~70%
Less screening effort
Auto-ranked CVs
100%
Sessions documented
Transcripts + scores
faster
Panel alignment
Shared scorecards

Four stages

Short summaries and a preview of what each step looks like in the product.

Step 01

Create a role blueprint

Codify what “great” looks like for this role.

Define must-haves, competencies, and knockouts once. That blueprint drives CV scoring, interview questions, and scorecards.

  • Competency mapping per role
  • Must-have vs nice-to-have filters
  • Shared template for the whole panel

Outcome: One scoring standard for screening through final review.

reerac.ai

Role blueprint · Senior Engineer

5+ years backendMust-have
Payments domainMust-have
Leadership experienceNice-to-have
Linked to CV scoring + interview rubric
Step 02

Screen and prioritize

From inbox to ranked shortlist in minutes.

Every CV is parsed and scored against your blueprint. Recruiters see rationale per candidate and can override before anyone moves forward.

  • Automatic fit scores + rationale
  • Adjust thresholds or bump candidates
  • Duplicate and incomplete detection

Outcome: A qualified shortlist ready for interviews. No manual sort.

reerac.ai
Shortlist47 applicants
A
A. Okonkwo
94%
B
B. Adeyemi
87%
C
C. Ibrahim
81%
Step 03

Run structured AI interviews

Same criteria, three interview modes.

Questions map to your competencies. Choose AI Assisted (recruiter + AI), Full AI (autonomous), or Recruiter (human-led). Sessions transcribe and score automatically.

  • AI Assisted Interview
  • Full AI Interview
  • Recruiter Interview

Outcome: Evidence-backed interview records for the panel.

reerac.ai
Full AI Interview · Question 3 of 6

AI · Describe a trade-off you made between speed and quality.

TranscriptScoresRecording
Step 04

Decide, share, improve

One scorecard, clear rationale.

Combine CV fit and interview performance. Share with the panel, document offer or decline reasons, then use funnel data to tune the next blueprint.

  • Consolidated scorecards
  • Panel comments without extra logins
  • Stage metrics for the next hire

Outcome: Defensible decisions and a faster next cycle.

reerac.ai
Panel viewRecommend hire
CV fit
9.1
Interview
8.4

Note · Strong technical depth; confirm stakeholder management in final round.

Who does what

AI does repetitive work; recruiters own judgment and sign-off.

StageYouAIOutput
BlueprintSet criteria onceStores the scoring standardRole template
ScreeningReview ranked listParse, score, rank CVsShortlist
InterviewsCo-host or reviewQuestions, transcript, scoresScorecards
DecisionFinalize + documentConsolidate + exportOffer / decline

Around the core flow

Extras that keep pipelines healthy end to end.

Pipeline analytics

Funnel, drop-offs, and time-per-stage in one dashboard.

Audit-ready records

Timestamps on screening, transcripts, and scorecards.

Iterative improvement

Tag what worked so the next blueprint starts stronger.

Notifications

Email and WhatsApp nudges so nothing stalls.

Multi-user panels

Reviewers comment without full platform access.

Exports

Shortlists and summaries for stakeholders.

FAQ

Frequently asked questions

What teams usually ask before going live.

Do I need the role blueprint before posting?

Yes, about five minutes. It’s what makes screening and interviews accurate. Most teams find it faster than rewriting a JD from scratch.

Can recruiters override the AI shortlist?

Always. You can move candidates, change thresholds, and read the AI rationale before advancing anyone.

What if a candidate misses their scheduled interview?

Resend the invite, offer new time slots, or switch the interview type, all from their profile with a full comms log.

How are scorecards shared with the panel?

Shareable links with permissions. Panelists can comment and recommend without a full Reerac login.

Can I reuse a blueprint for the next hire?

Yes. Duplicate, edit, or reactivate saved blueprints so repeat roles get faster each cycle.

High volume vs senior roles, same flow?

Same four stages; you tune filters and interview mode. Volume roles often use Full AI Interview; senior roles may prefer AI Assisted or Recruiter Interview with panels.

Where do candidates apply?

Careers page, job boards, or direct upload. All land in the same pipeline with the same blueprint scoring.

What gets exported?

Shortlists, interview summaries, and pipeline snapshots in formats you can share with stakeholders or compliance.