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Success Story.

How Care Health Insurance made high-volume hiring objective and consistent

Company size

5,001-10,000

Headquarters

Gurugram, India

Industry

Health Insurance

Use case

High-volume analytical & technical hiring

How Care Health Insurance made high-volume hiring objective and consistent

Challenge

High-volume analytical, technical, and operational hiring where inconsistent screening let the bar drift and, for an insurer, let risk into the workforce.

Solution

One validated Testlify bar assembled per role, reasoning, coding, attention to detail, and the SMART personality inventory, testing applied skill across 227k+ responses.

Outcome

A high-volume funnel that stays objective end to end, at 95% completion across roughly 6,000 candidates a cycle.

95%

complete the assessment, a comparable read on almost every applicant

6,000

candidates a cycle held to one objective bar

227k+

responses testing applied skills

Care Health Insurance underwrites health and long-term care coverage, a business where a hire's reasoning and precision carry real financial risk. It also hires at volume, thousands of candidates across analytical, technical, and operational roles. That is exactly where hiring quality tends to slip.

Scaling hiring without sacrificing quality

Screening that many people through resumes and inconsistent tests meant the bar shifted with whoever was reviewing, and strong analytical candidates were easy to miss in the volume.

For an insurer, an inconsistent screen is not just inefficient. A wrong hire in a role that assesses risk or handles claims carries real financial consequence, so letting a weak candidate through on a subjective read is a cost the business feels later. Care Health needed a first filter that was fast, fair, and identical for everyone.

One validated bar, assembled per role

Rather than author tests from scratch, Care Health standardized on Testlify's validated library and built the right bar for each role. Crucially, the tests measure applied ability, not memory: across 227,000+ responses, candidates solve problems and write code rather than recognize answers, so the signal reflects how someone will actually perform. The core set:

  • Numerical and logical reasoning. A consistent analytical baseline every candidate clears.
  • Coding. Python, Java, and data structures, so developer candidates prove they can build, not just describe.
  • Attention to detail. The precision an insurance workflow depends on, tested directly.
  • SMART personality inventory. Behavioral fit measured the same way for everyone, not read off an interview.

A funnel that stays objective end to end

Care Health now screens around 6,000 candidates a cycle against one consistent bar, and 95% of them complete it. At this volume, a screen people abandon becomes a bottleneck; instead Care Health gets a full, comparable read on almost every applicant.

That near-universal completion is the quiet proof the process works: shortlisting rests on demonstrated ability rather than a reviewer's impression, and the standard holds from the first candidate to the six-thousandth.

Risk kept out of the workforce

For a health insurer, the payoff is not just speed. Because every hire clears the same objective bar for reasoning, technical skill, and fit, the process removes the reviewer from the equation, exactly the consistency a risk-carrying business needs when it is hiring thousands of people a year.

Capabilities.

Key capabilities

Role-ready assessments

Validated tests matched to the skills each engineering role requires

Real-world technical evaluation

227k+ responses measuring coding, problem-solving, and applied skills

Consistent hiring standard

Every candidate evaluated on the same objective criteria before interviews

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