A practical guide to tracking Time to Hire, Cost per Hire, Offer Acceptance Ratio, and Sourcing Channel Quality for hiring teams across India.
Key Takeaways:
- Average Time to Hire across Indian tech hubs (Bengaluru, Hyderabad, Pune) is 42 to 48 business days.
- Top Indian candidates field multiple competing offers within 10 to 14 days, making screening velocity decisive.
- Tracking 7 core metrics (TTH, TTF, Offer-to-Join, CPH, Source Quality, Screening Velocity, Recruiter Throughput) provides full-funnel hiring visibility.
1. Time to Hire (TTH)
What it measures: The total number of calendar days from when a candidate applies (or is sourced) until they accept a formal job offer.
- Indian Market Average: 42 to 48 business days in IT and Services.
- Target with AI Automation: Under 10 to 14 days.
- Why it matters: In competitive tech hubs like Bengaluru, Hyderabad, and Pune, top candidates receive multiple competing offers within 10 to 14 days. Prolonged screening loops lead directly to candidate drop-off.
2. Time to Fill (TTF)
What it measures: The number of days between the approval of a job requisition and the new hire's official start date.
- Indian Market Average: 55 to 70 days (heavily impacted by standard 60-to-90-day notice periods).
- Optimization strategy: Shortening the evaluation and offer stage to under 7 days allows buffer time for candidate notice periods.
3. Offer-to-Join Ratio (Offer Acceptance Rate)
What it measures: The percentage of candidates who formally accept an offer and actually report on Day 1.
Offer Acceptance Rate = (Offers Accepted / Offers Extended) × 100
- Indian Market Challenge: Drop-out rates before Day 1 frequently reach 20% to 35% in mid-level IT roles.
- Best Practice: Maintain weekly touchpoints, pre-boarding async interactions, and fast turnaround between final interview and offer rollout.
4. Cost per Hire (CPH)
What it measures: Total recruitment expenditure (agency fees, job board subscriptions, recruiter salaries, software tooling) divided by total hires made.
- Indian Average Benchmark: ₹35,000 to ₹65,000 for mid-level non-tech roles, and ₹90,000 to ₹2,50,000 for senior engineering hires.
- AI Cost Impact: Automating early-stage resume screening and video interviews reduces external recruitment agency dependencies by over 60%.
5. Source Quality & Channel Conversion Rate
What it measures: Which talent source (Naukri, LinkedIn, employee referrals, direct career portal) yields the highest ratio of qualified shortlists to hires.
While broad portals deliver 80% of total volume, employee referrals and AI-filtered direct applicants consistently achieve 3x higher interview-to-offer conversion rates.
6. First-Round Screening Velocity
What it measures: The hours elapsed between application submission and completion of the first screening conversation.
- Traditional Manual Speed: 4 to 8 business days.
- AI Automated Speed: Under 2 hours using 24/7 asynchronous video screening.
7. Recruiter Throughput & Productivity
What it measures: The number of active roles an individual recruiter can successfully manage simultaneously without quality degradation.
- Traditional Capacity: 4 to 6 concurrent open roles per recruiter.
- AI-Augmented Capacity: 15 to 20 concurrent roles per recruiter when screening and interview scheduling are fully automated.
Related SuperDriven resources
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