--- title: "India's Life Insurers Appointed 11.15 Lakh Agents in FY25 and Terminated 8.87 Lakh: A Practitioner FAQ on BFSI Frontline Assessment" description: "IRDAI's 2024-25 tables show 11,15,026 individual agents appointed and 8,87,020 terminated in one year, while the RBI puts private bank attrition near 25%. Ten questions on assessing India's BFSI frontline, answered against the revised validity evidence and published persistency data." canonical: https://www.assessall.com/blog/indias-life-insurers-appointed-11-15-lakh-agents-in-fy25-and-terminated-8-87 published: 2026-10-27 updated: 2026-10-27 author: "AssessAll Editorial" source: AssessAll --- # India's Life Insurers Appointed 11.15 Lakh Agents in FY25 and Terminated 8.87 Lakh: A Practitioner FAQ on BFSI Frontline Assessment IRDAI's 2024-25 tables show 11,15,026 individual agents appointed and 8,87,020 terminated in one year, while the RBI puts private bank attrition near 25%. Ten questions on assessing India's BFSI frontline, answered against the revised validity evidence and published persistency data. BFSI frontline assessment screens candidates for customer-facing roles in banking, insurance and lending, where annual churn is the defining constraint rather than an exception. It differs from ordinary pre-hire testing in one respect: a licensing exam is already compulsory and is not a selection device, so the assessment has to predict retention and conduct, not product knowledge. ## The churn is in the regulator's own tables India's life insurers ended March 2025 with 31.23 lakh individual agents, up 7.87% on the year. The flow behind that stock is the part worth reading. During 2024-25 the industry appointed 11,15,026 individual agents and terminated 8,87,020 — roughly 80 terminations for every 100 appointments, against an opening base of 28.95 lakh ([IRDAI Annual Report 2024-25](https://irdai.gov.in/annual-reports), Table II.1). Banking shows the same pattern in a different register. The Reserve Bank put average attrition at select private sector banks and small finance banks at about 25%, warning that "high attrition and employee turnover rate pose significant operational risks" and that reducing it "is not just a human resource function but a strategic imperative" ([Report on Trend and Progress of Banking in India 2023-24](https://www.rbi.org.in/Scripts/AnnualPublications.aspx?head=Trend+and+Progress+of+Banking+in+India)). At that rate of replacement, selection quality compounds faster than almost anywhere else in Indian hiring. Below are the questions BFSI assessment teams actually ask. ## Ten questions, answered ### 1. Our agents clear the mandatory IRDAI examination. Isn't that already a screen? No. A licensing examination establishes minimum regulatory knowledge for a person the insurer has already decided to appoint. It is a floor, applied after the sourcing decision, with a pass standard set for consumer protection rather than for discriminating between candidates. The proof is arithmetic: every one of the 11.15 lakh agents appointed in 2024-25 satisfied the licensing requirement, and so did almost all of the 8.87 lakh terminated. A test that everyone in both groups passes cannot separate them. ### 2. Can a pre-hire assessment predict who stays? Partially, and the honest answer is weaker than vendors suggest. The meta-analytic record on retention is thinner than the record on performance. Zimmerman's meta-analytic path model found emotional stability, conscientiousness and agreeableness carried the largest negative associations with actually quitting ([*Personnel Psychology*, 2008](https://onlinelibrary.wiley.com/doi/10.1111/j.1744-6570.2008.00115.x)) — a direction, not a hit rate. Treat retention as a secondary criterion you measure and monitor, and build the battery around performance and conduct, where the evidence is firmer. ### 3. What should the battery actually measure? The revised meta-analytic estimates from [Sackett, Zhang, Berry and Lievens (2022)](https://gwern.net/doc/statistics/meta-analysis/2021-sackett.pdf) are the sensible starting point, because they removed an overcorrection that had inflated older figures by .10 to .20. Operational validity against job performance: **Strong, and worth the build cost** - Structured interviews, .42 - Job knowledge tests, .40 - Empirically keyed biodata, .38 **Useful mid-range** - Work sample tests, .33 - Cognitive ability tests, .31 - Situational judgment tests, .26 **Weak on their own** - Overall conscientiousness, .19 - Years of job experience, .07 Two notes matter for a frontline battery. Empirically keyed biodata reaches .38, but biodata keyed on rational judgement rather than data reaches only .22 — the key, not the questionnaire, does the work. And a contextualised conscientiousness measure (.25) outperforms a generic one (.19), which is an argument for scenarios written in the candidate's actual selling context rather than an off-the-shelf inventory. ### 4. If mis-selling is the real risk, is an integrity test worth adding? It is worth adding and worth distrusting. Sackett and colleagues revised integrity test validity down from .41 to .31, with a lower 80% credibility value of .05 — among the widest spreads in the whole matrix, meaning results in your setting may be close to nothing. The risk itself is measurable and rising: unfair business practice grievances against life insurers went from 23,335 in 2023-24 to 26,667 in 2024-25, lifting their share of all life grievances from 19.33% to 22.14%. Pair any integrity measure with scenario items that put the candidate in a suitability-disclosure decision and score what they do, which is what AssessAll's AI-graded scenarios are built for. ### 5. What outcome should we validate the assessment against? Not first-quarter premium. BFSI has something most sectors lack — a published, audited, lagged quality measure. SBI Life reported 13th month persistency of 87.4% and 61st month persistency of 62.7% on a premium basis for FY2025 ([results release](https://www.sbilife.co.in/documents/d/sbil/performance-for-the-year-ended-march-31-2025)). Across the sector the near-term number has been sliding: HDFC Life and ICICI Prudential Life both reported 86% 13th month persistency in Q1FY26, against 88% and 89.7% a year earlier. Validate against persistency of the business a hire writes, plus tenure at 6 and 12 months. A seller who hits target and whose book lapses by month 13 is a selection failure the sales dashboard will record as a success. ### 6. Should bancassurance sellers be assessed differently from agents? Yes, because they are a different population doing a different job. Individual agents produced 49.44% of life insurers' individual new business premium in 2024-25, but bank corporate agents produced 32.59% industry-wide and 49.66% at private insurers — in private-sector life, a bank employee sells about as much as an agent does. That person is a salaried branch employee with a cross-sell target, not a commission-only intermediary. Retention is governed by the bank's own career path, so weight conduct, suitability judgement and advice quality higher, and self-starting persistence lower. ### 7. We hire at very high volume. How long can the assessment be? Short, and front-loaded. Put the cheapest high-validity component first and reserve anything expensive for survivors. At agency-channel volumes the per-candidate cost decides whether assessment happens at all, which is why pay-as-you-go pricing — AssessAll charges ₹30 / US$0.50 per credit, with 100 free credits on individual signup and 250 on corporate — tends to work better than a seat licence sized for a recruitment peak you only hit twice a year. ### 8. Does a language test belong in the battery? Only if the role is language-loaded, and then test the language the work is done in. Much frontline BFSI selling in India happens in a regional language with English only for documentation and system entry. Assess the specific sample of behaviour the job requires — explaining a lapse clause, handling an objection, reading a benefit illustration aloud — rather than general proficiency, and do it in the language of the territory you are hiring for. ### 9. How do we keep this fair across districts, languages and genders? By monitoring, not by assuming. The subgroup difference figures in the US literature do not transfer to Indian groupings, so the obligation is to generate your own evidence: record pass rates and mean scores by gender, language of administration, district type and sourcing channel, and investigate gaps before they become policy. Women were 34.42% of life insurers' individual agents in March 2025, so a battery with a sizeable gender gap in pass rates would change your pipeline materially. The [Standards for Educational and Psychological Testing](https://www.apa.org/science/programs/testing/standards) set the documentation expectation. ### 10. How will we know it worked? Back-test on people you have already hired before you roll out. Score a cohort hired 12 to 18 months ago, pull their 13th month persistency, their conduct flags and whether they are still on the books, and correlate. If the assessment cannot separate the surviving top quartile from the people terminated in year one on data you already own, it will not do so prospectively. Then re-run the check annually, because at 25-30% churn the population you validated on is largely gone within three years. ## The takeaway BFSI frontline assessment in India is unusual in having a real criterion sitting in the public domain — persistency — and unusual in how fast the workforce turns over. Build the battery against that criterion rather than against first-quarter sales, and re-validate often enough that the evidence still describes the people you are hiring. --- Source: https://www.assessall.com/blog/indias-life-insurers-appointed-11-15-lakh-agents-in-fy25-and-terminated-8-87