HEALTH INSURANCE & CLAIMS

Health Insurance Claim Experience Satisfaction & Policyholder Retention Survey

Measure how active policyholders evaluate claim turnaround, navigate reimbursement processes, and weigh renewal decisions, so you can sharpen retention positioning, fix churn-stage messaging, and benchmark satisfaction across policyholder segments.

Pan-India sample
Active policyholders (Individual and Family Floater holders)
15-20 min
Talk to a Survey Consultant
Claim friction & drop-off signalsIdentify where policyholders disengage during cashless or reimbursement claim stages.
Renewal drivers & lapse riskDiagnose satisfaction gaps that convert renewing policyholders into lapsed accounts.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most health insurers don't lose policyholders purely on premium cost. They lose them due to opaque claim settlement timelines, cashless network gaps, TPA friction, document rejection loops, and post-claim silence, none of which fully show up in loss ratios or renewal dashboards.

If you are...

  • Retail health product head
  • Claims operations or TPA lead
  • Policyholder retention strategy head
  • Group health distribution leader
  • Insurer vs standalone health competitor

You're likely facing...

  • Claim dissatisfaction driving lapse spikes
  • TPA friction: reimbursement vs cashless gap
  • Renewal drop-off post first claim
  • Network adequacy vs perception mismatch
  • Portability triggers at renewal window

This will help answer...

  • Claim experience drivers of retention
  • Drop-off stage in claim journey
  • Segment-wise satisfaction vs lapse risk
  • Premium tolerance post claim event
  • Portability and switching trigger points

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete policyholder journey from first claim submission to renewal decision.

TENETS 01

Claim Initiation

  • First notification of loss channels
  • Pre-submission documentation friction
TENETS 02

Pre-Auth Experience

  • Cashless approval turnaround time
  • Hospital TPA coordination gaps
TENETS 03

Settlement Speed

  • Cashless vs. reimbursement cycle time
  • Partial settlement frequency
TENETS 04

Rejection & Disputes

  • Claim rejection reasons cited
  • Grievance redressal channel usage
TENETS 05

Communication Quality

  • Proactive status update frequency
  • Claim handler accessibility rating
TENETS 06

Digital vs. Assisted

  • Self-service portal adoption rate
  • Preferred channel by claim complexity
TENETS 07

Trust & Renewal Intent

  • Post-claim insurer trust score
  • Renewal likelihood by claim outcome
TENETS 08

Competitive Benchmarking

  • Insurer switching triggers post-claim
  • Peer insurer claim experience comparison

SAMPLING STRATEGY

Tell us about your ideal sample

Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.

Sample size
How many respondents do you need?
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Target audience
Who should we survey?
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Region
Which regions should we cover?
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Segments
How should we slice the data?
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Discuss sample plan

METHODOLOGY

Survey approach

For the Health Insurance Claim Experience Satisfaction and Policyholder Retention Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Measuring claim satisfaction scores by policy tier
2
Ranking renewal intent drivers across segments
3
Comparing dissatisfaction rates by insurer and channel
Deliverables
Satisfaction driver ranking
Retention risk matrix
Segment gap scores
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Senior policyholders with low digital engagement
2
Reaching claimants in Tier 2 and Tier 3 cities
Deliverables
Claimant coverage report
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-value policyholders with complex claim histories
2
Corporate HR leads managing group health portfolios
Deliverables
Cohort journey maps
High-value segment insights
OPTIONAL
FGDs
Deliverables
Themes and quotes
Messaging concept feedback
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey as the core quant layer, targeting active claimants and recently renewed policyholders across individual and group health segments.
Consider adding: CATI for low-digital senior policyholders and Tier 2 or Tier 3 claimants, plus a focused FGD layer to isolate the emotional drivers behind lapse decisions and sharpen retention messaging.

EXECUTION PROCESS

How we execute

A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.

Define the decision frame

Confirm objectives, target cohorts, geographies, and reporting cuts

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

Deliver and align

COMMERCIAL TERMS

Request a Commercial Proposal

Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.

Select Sample Size

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
  • Indian Rupee (INR)
  • United Arab Emirates Dirham (AED)
  • Afghan Afghani (AFN)
  • Albanian Lek (ALL)
  • Armenian Dram (AMD)
  • Netherlands Antillean Guilder (ANG)
  • Angolan Kwanza (AOA)
  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
  • Azerbaijani Manat (AZN)
  • Bosnia-Herzegovina Convertible Mark (BAM)
  • Barbadian Dollar (BBD)
  • Bangladeshi Taka (BDT)
  • Bulgarian Lev (BGN)
  • Bahraini Dinar (BHD)
  • Burundian Franc (BIF)
  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
  • Belize Dollar (BZD)
  • Canadian Dollar (CAD)
  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
  • Costa Rican Colón (CRC)
  • Cuban Peso (CUP)
  • Cape Verdean Escudo (CVE)
  • Czech Koruna (CZK)
  • Djiboutian Franc (DJF)
  • Danish Krone (DKK)
  • Dominican Peso (DOP)
  • Algerian Dinar (DZD)
  • Egyptian Pound (EGP)
  • Eritrean Nakfa (ERN)
  • Ethiopian Birr (ETB)
  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
  • Gambian Dalasi (GMD)
  • Guinean Franc (GNF)
  • Guatemalan Quetzal (GTQ)
  • Guyanese Dollar (GYD)
  • Hong Kong Dollar (HKD)
  • Honduran Lempira (HNL)
  • Croatian Kuna (HRK)
  • Haitian Gourde (HTG)
  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
  • Iraqi Dinar (IQD)
  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
  • Cambodian Riel (KHR)
  • Comorian Franc (KMF)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • Sri Lankan Rupee (LKR)
  • Liberian Dollar (LRD)
  • Lesotho Loti (LSL)
  • Libyan Dinar (LYD)
  • Moroccan Dirham (MAD)
  • Moldovan Leu (MDL)
  • Malagasy Ariary (MGA)
  • Macedonian Denar (MKD)
  • Burmese Kyat (MMK)
  • Mongolian Tögrög (MNT)
  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
  • Nigerian Naira (NGN)
  • Nicaraguan Córdoba (NIO)
  • Norwegian Krone (NOK)
  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
  • Papua New Guinean Kina (PGK)
  • Philippine Peso (PHP)
  • Pakistani Rupee (PKR)
  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
  • Russian Ruble (RUB)
  • Rwandan Franc (RWF)
  • Saudi Riyal (SAR)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • Sudanese Pound (SDG)
  • Swedish Krona (SEK)
  • Singapore Dollar (SGD)
  • Saint Helena Pound (SHP)
  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
  • Thai Baht (THB)
  • Tajikistani Somoni (TJS)
  • Turkmenistani Manat (TMT)
  • Tunisian Dinar (TND)
  • Tongan Paʻanga (TOP)
  • Turkish Lira (TRY)
  • Trinidad and Tobago Dollar (TTD)
  • New Taiwan Dollar (TWD)
  • Tanzanian Shilling (TZS)
  • Ukrainian Hryvnia (UAH)
  • Ugandan Shilling (UGX)
  • United States Dollar (USD)
  • Uruguayan Peso (UYU)
  • Uzbekistani Som (UZS)
  • Vietnamese Đồng (VND)
  • Vanuatu Vatu (VUV)
  • Samoan Tālā (WST)
  • Central African CFA Franc (XAF)
  • East Caribbean Dollar (XCD)
  • West African CFA franc (XOF)
  • CFP Franc (XPF)
  • Yemeni Rial (YER)
  • South African Rand (ZAR)
  • Zambian Kwacha (ZMW)
  • Zimbabwean Dollar (ZWL)

$0.00

+ applicable taxes

Proposal turnaround typically 24–48 hours

Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.

REFERENCE CASELETS

Reference

Real-world examples of survey work in the health insurance policyholder experience space.

CASELET 1

Cashless claim friction & network hospital perception (India)

CASELET 2

Reimbursement claim messaging & channel preference (South India)

Cashless claim friction & network hospital perception (India)

OBJECTIVE

A mid-size private health insurer needed to isolate where cashless claim journeys broke down across individual retail policyholders and group corporate members , and which friction points drove non-renewal intent at the next premium cycle.

WHAT WE DID

Ran a structured quant survey across 600 policyholders in 8 cities, capturing pre-authorisation wait time, hospital desk experience, insurer helpline responsiveness, and document resubmission frequency at each stage of the cashless claim process.

DELIVERED

A stage-by-stage friction map of the cashless claim journey, a ranked list of dropout triggers by policyholder segment , and a set of retention levers tied to specific touchpoints in the pre-authorisation and discharge window.
CASELET 1

Cashless claim friction & network hospital perception (India)

CASELET 2

Reimbursement claim messaging & channel preference (South India)

Cashless claim friction & network hospital perception (India)

OBJECTIVE

A mid-size private health insurer needed to isolate where cashless claim journeys broke down across individual retail policyholders and group corporate members , and which friction points drove non-renewal intent at the next premium cycle.

WHAT WE DID

Ran a structured quant survey across 600 policyholders in 8 cities, capturing pre-authorisation wait time, hospital desk experience, insurer helpline responsiveness, and document resubmission frequency at each stage of the cashless claim process.

DELIVERED

A stage-by-stage friction map of the cashless claim journey, a ranked list of dropout triggers by policyholder segment , and a set of retention levers tied to specific touchpoints in the pre-authorisation and discharge window.

FREQUENTLY ASKED QUESTIONS

Common Questions

Answers to frequently asked questions about this survey mandate.

What decisions will this survey enable?

Who is the buyer vs who are the respondents?

Can we see differences between individual policyholders, family floater holders and group cover members?

How will you measure claim settlement satisfaction beyond simple ratings?

Will the survey map the full claims journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our policyholder retention and renewal rates?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

Book a Discovery Call