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Self-guided tour Β· no form, no call

See the whole system in seven steps.

A requisition from approval to first payslip, exactly as your team would see it. Read it at your own pace β€” nobody is emailed, nothing is gated, and you can stop whenever you have seen enough.

The tour walks the hiring half of the platform, the applicant tracking system, straight through into the HRMS and payroll side, because that hand-off is where most stacks lose the record.

01 Step one Β· requisition

Approve the role before anyone sources for it.

Headcount, budget band and the scorecard are agreed in one flow. The band is checked against live market data, so nobody approves a salary the market will not accept.

Multi-level approval with an audit trail β€” who approved what, and when Market band checked at approval, not discovered at offer stage Scorecard attached to the requisition; every later score refers back to it
What it replaces

Approval threads in email and a job description pasted into a spreadsheet.

Example screen Live workspace
REQ-4471 Β· Senior Backend Engineer

Bengaluru Β· 2 openings Β· created four minutes ago

Primary action on this screen: Approve and open

01 Budget band Checked against comparable roles in the same market β‚Ή38–52 LPA
02 Approvers Hiring manager β†’ Finance β†’ CTO 3 of 3 done
03 Scorecard Distributed systems Β· ownership Β· debugging Β· mentoring 4 criteria
04 Sourcing budget No job-board spend approved yet β€” database first β‚Ή0

The agents cannot touch the role until the scorecard exists. That is deliberate.

Illustrative sample data for a fictional requisition, not a customer record.

02 Step two Β· sourcing

Your silent database gets searched before you spend a rupee.

Past finalists, silver medallists and lapsed applicants are matched against the new scorecard first. The point is to find shortlist candidates among people you already had, before you pay for new ones.

Silver medallists resurfaced with the reason they were close last time Outbound search across the open web for what your database lacks Personalised outreach drafted per candidate, sent from your own address
What it replaces

Buying the same candidates twice from a job board.

Example screen Sourcing agent
Sourcing agent Β· REQ-4471

41 internal matches, 218 external

Primary action on this screen: Review shortlist

01 Past finalist Silver medallist on an earlier requisition β€” lost on team-size fit only 94 match
02 Lapsed applicant Applied 14 months ago, now three years more senior 91 match
03 Sourced externally Kafka and Go, same city, open to relocate 88 match
04 Outreach drafted Referencing each person's actual work, not a template 31 queued

Nothing is sent without a human approving the batch.

Illustrative sample data for a fictional requisition, not a customer record.

03 Step three Β· screening

Every applicant scored, and every score shows its evidence.

Every applicant is ranked against the four agreed criteria. Open any candidate and see which requirement was met, where in the CV or interview it came from, and what lowered the score.

Nobody is silently dropped because a recruiter ran out of Friday Demographic fields redactable; scoring drift monitored per cohort Advance and reject always require a named human β€” and it is recorded
What it replaces

Reading the first 200 CVs and calling that a shortlist.

Example screen Screening agent
812 applicants Β· 34 clear the bar

Ranked against the four agreed criteria Β· evidence attached per score

Primary action on this screen: Open evidence view

01 Distributed systems resume p2 l14 β€” β€œsharded Kafka cluster, 4B events a day” Met
02 Ownership interview 14:22 β€” led the migration, named the trade-off Met
03 Mentoring No evidence found in the CV or the screen Ask in loop
04 Decision Queued for the assigned recruiter β€” a person confirms, always Human

This screen is what you would hand a regulator or a tribunal.

Illustrative sample data for a fictional requisition, not a customer record.

04 Step four Β· interviews

Four interviewers, one standard, one comparison view.

Slots are booked from real availability, panel briefs go out, and scorecards are prompted during the call. Finalists then sit side by side with their evidence and the places the panel disagreed.

Candidate self-booking, so there is no scheduling thread ever again Recording and transcript optional, attached to the scorecard Feedback nudges in Slack or Teams, escalating if a pipeline stalls
What it replaces

A scheduling tool, a video tool, and four documents of notes.

Example screen Interview intelligence
Final panel Β· 3 candidates

12 interviews across three finalists

Primary action on this screen: Compare finalists

01 Finalist A Systems 5 Β· Ownership 4 Β· Debugging 5 Β· Mentoring 3 4.3 avg
02 Finalist B Systems 4 Β· Ownership 5 Β· Debugging 4 Β· Mentoring 4 4.2 avg
03 Panel dissent One interviewer scored design two points below the others Flagged
04 Drift check That interviewer is scoring below the team median this quarter Coaching

Dissent is surfaced, not averaged away β€” that is where bad hires hide.

Illustrative sample data for a fictional requisition, not a customer record.

05 Step five Β· offer

Benchmark, draft, approve, sign β€” without leaving the record.

The offer is built against the band approved in step one, routed for approval and e-signed. After that the candidate is contacted on a schedule until they actually start.

Counter-offer risk flagged from notice period and market movement Background checks ordered in parallel, status on the candidate card Pre-joining contact scheduled through the whole notice period
What it replaces

A template document, a signature app and a hopeful silence.

Example screen Offer desk
Offer Β· leading finalist

Drafted from the approved band Β· 2 approvals pending

Primary action on this screen: Send for signature

01 Offer value Inside the band approved at requisition stage β‚Ή47.5 LPA
02 Counter-offer risk 90-day notice, and the current employer moved its bands recently Medium
03 Background check Identity, education, two employers, criminal β€” running In progress
04 Pre-joining plan Six scheduled touchpoints through the notice period Set

The band from step one is enforced here β€” nobody negotiates past it by accident.

Illustrative sample data for a fictional requisition, not a customer record.

06 Step six Β· HRMS

The hire becomes an employee without anyone retyping anything.

Documents, statutory forms, equipment, shift and the first-week plan all run from the same record. Payroll picks the employee up directly β€” offer to first payslip, unbroken.

Employee record created from the offer, not re-entered by hand India statutory fields β€” PF, ESI, PT β€” validated before the first cycle The manager gets the 30-60-90 plan the day the offer is signed
What it replaces

An HR system that hears about the new hire on day one.

Example screen HRMS
Onboarding Β· new hire

Joins 1 September Β· 9 of 11 tasks complete

Primary action on this screen: Hand over to payroll

01 Documents PAN, Aadhaar, prior payslips, education proofs Complete
02 Statutory PF and ESI numbers validated, PT state set Ready
03 Equipment Laptop dispatched, delivery before the start date In transit
04 First payroll Salary structure mapped, pro-rated for the start date Next cycle

This is the join most stacks do not have β€” and where context normally dies.

Illustrative sample data for a fictional requisition, not a customer record.

07 Step seven Β· analytics

One number the CFO and the CHRO both trust.

Cost per hire, days to fill, source quality, vendor performance and manager responsiveness β€” live, from the same record, without anyone building a spreadsheet on Friday.

Every metric drills down to the requisition and the decision behind it Vendor scorecards: fill rate, submission quality, effective margin Exports for the board, the auditor or the regulator in one click
What it replaces

Four dashboards that disagree, and a monthly manual report.

Example screen Analytics
Hiring performance Β· this quarter

62 hires Β· 9 open roles Β· 4 vendors active

Primary action on this screen: Export for the board

01 Cost per hire Blended across agency, database and direct sourcing β‚Ή86,400
02 Days to fill Median across all open roles this quarter 24 days
03 Best source Ranked by hires produced against media spend consumed Own database
04 Weakest vendor Ranked on fill rate and submission quality β€” off the next brief Flagged

That is the tour. The free workspace is this exact product, with your data in it.

Illustrative sample data for a fictional requisition, not a customer record.

08 After the tour

Go deeper on any part of it.

Each step above has a product page behind it. If you would rather ask a person, a 20-minute call on one of your own open roles is usually faster than reading.

Prefer to read rather than click through? Each step has a page of its own: the ATS, the sourcing engine, interview intelligence, vendor management and HRMS. Pricing for all of them is on one page.

Seen enough? The free workspace is the same product.

One user, free forever β€” or bring one open role to a 20-minute call and we will run it live on your own requisition.

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