CORPORATE INSURANCE & RISK

Corporate Insurance Broker Risk Head Advisory & Policy Recommendation Survey

Capture how corporate Risk Heads evaluate broker advisory quality, compare policy recommendations, and navigate coverage trade-offs, so you can sharpen broker positioning, convert high-value mandates, and benchmark retention across risk segments.

Pan-India sample
Corporate Risk Heads (Senior Risk Decision-Makers)
15-20 min
Talk to a Survey Consultant
Advisory gaps & conversion frictionIdentify where broker recommendations stall, lose credibility, or fail mandate conversion.
Policy fit & segment benchmarksBenchmark coverage priorities, risk appetite signals, and policy trade-offs across corporate segments.
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CONTEXT & RELEVANCE

Why run this survey now

Most corporate insurance brokers don't lose risk head mandates purely on premium competitiveness. They lose them due to misaligned coverage recommendations, weak claims advocacy records, poor renewal-cycle communication, undifferentiated risk advisory positioning, and gaps in policy benchmarking, none of which fully show up in placement trackers or renewal retention reports.

If you are...

  • Corporate broker vs captive insurer competition
  • Broker repositioning advisory capabilities
  • Risk Head or Chief Risk Officer
  • Head of Corporate Insurance Placement
  • Broker growth and retention teams

You're likely facing...

  • Policy fit confusion: coverage vs cost
  • Drop-offs: renewal negotiation stage
  • Brokers = transactional/low-advisory perception
  • Captives = control/inflexible perception
  • Mandate switching at claims trigger

This will help answer...

  • Advisory drivers beyond premium savings
  • Renewal mandate drop-off stage
  • Broker vs captive segment preference
  • Fee structure and coverage benchmarks
  • Claims experience switching triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete corporate risk advisory journey from broker engagement to policy renewal.

TENETS 01

Broker Selection & Trust

  • Broker shortlisting criteria, risk heads
  • Advisory credibility signals, mandate triggers
TENETS 02

Risk Appetite Mapping

  • Tolerance thresholds, board-mandated limits
  • Retained risk versus transfer decisions
TENETS 03

Policy Design & Coverage

  • Coverage gap identification, bespoke endorsements
  • Multi-line programme structuring preferences
TENETS 04

Renewal Friction & Process

  • Renewal timeline bottlenecks, documentation delays
  • Insurer negotiation cycle, broker responsiveness
TENETS 05

Premium Benchmarking & WTP

  • Market rate benchmarks, peer sector comparisons
  • Willingness to pay, budget approval thresholds
TENETS 06

Claims Advisory & Support

  • Claims advocacy quality, settlement speed
  • Broker involvement, loss adjuster coordination
TENETS 07

Insurer Panel & Placement

  • Insurer panel depth, market access breadth
  • Placement transparency, capacity allocation decisions
TENETS 08

Broker Switching & Loyalty

  • Incumbent retention drivers, switching triggers
  • Competitive re-tender frequency, loyalty barriers

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 Corporate Insurance Broker Risk Head Advisory and Policy Recommendation Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across broker seniority tiers and policy lines.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking policy recommendation drivers by risk category.
2
Benchmarking advisory frequency across broker segments.
3
Mapping coverage gap perceptions by industry vertical.
Deliverables
Driver ranking
Coverage gap matrix
Segment benchmarks
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Senior risk heads with low survey panel presence.
2
Rapid coverage across regional brokerage offices.
Deliverables
Broker tier coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Large-account brokers managing complex multi-line portfolios.
2
High-value risk heads requiring in-depth policy validation.
Deliverables
Portfolio risk maps
Advisory journey notes
OPTIONAL
FGDs
Deliverables
Themes and quotes
Advisory 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, supported by CATI to reach senior risk heads and regional broker offices with low panel presence.
Consider adding: F2F interviews for large-account brokers managing complex multi-line portfolios, and a focused FGD layer to pressure-test policy recommendation logic and refine advisory positioning.

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
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$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 corporate insurance advisory space.

CASELET 1

Liability cover preference & broker trust signals (India)

CASELET 2

Group health & property cover advisory gap diagnosis (West India)

Liability cover preference & broker trust signals (India)

OBJECTIVE

A mid-size commercial insurer needed to map how large-account risk managers and CFOs evaluate broker recommendations on directors and officers liability and commercial general liability covers, and which advisory signals drive policy renewal decisions.

WHAT WE DID

Ran a structured quant survey across 180 corporate risk and finance decision-makers in six metros, capturing broker selection criteria, policy adequacy perceptions, renewal trigger points, and premium benchmarking behavior by industry sector and company revenue band.

DELIVERED

A broker trust signal framework , a policy adequacy perception map by sector, a ranked list of renewal friction points , and a set of advisory positioning territories tied to specific risk manager decision stages.
CASELET 1

Liability cover preference & broker trust signals (India)

CASELET 2

Group health & property cover advisory gap diagnosis (West India)

Liability cover preference & broker trust signals (India)

OBJECTIVE

A mid-size commercial insurer needed to map how large-account risk managers and CFOs evaluate broker recommendations on directors and officers liability and commercial general liability covers, and which advisory signals drive policy renewal decisions.

WHAT WE DID

Ran a structured quant survey across 180 corporate risk and finance decision-makers in six metros, capturing broker selection criteria, policy adequacy perceptions, renewal trigger points, and premium benchmarking behavior by industry sector and company revenue band.

DELIVERED

A broker trust signal framework , a policy adequacy perception map by sector, a ranked list of renewal friction points , and a set of advisory positioning territories tied to specific risk manager decision stages.

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 single-line, multi-line and captive-adjacent corporate clients?

How will you measure broker advisory preference beyond simple ratings?

Will the survey map the full policy renewal and broker review journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our broker mandate conversion and retention rate?

Still have questions?

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