HEALTHCARE & POLYCLINICS

Polyclinic Patient Service Quality Satisfaction & Return Visit Behaviour Survey

Polyclinic patients evaluate wait times, clinical staff responsiveness, and billing transparency when choosing where to return, so you can sharpen retention positioning, fix service conversion gaps, and benchmark patient loyalty by facility segment.

Pan-India sample
Polyclinic patients (Recent Outpatient Visitors)
15-20 min
Talk to a Survey Consultant
Return visit friction & drop-offsIdentify where patients disengage after first visits and avoid rebooking.
Service quality drivers & loyalty segmentsBenchmark satisfaction scores across consultation, billing, and wait-time stages.
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CONTEXT & RELEVANCE

Why run this survey now

Most polyclinics don't lose returning patients purely on wait times. They lose them due to inconsistent clinical communication, fragmented care coordination, unresolved billing friction, staff responsiveness gaps, and misaligned specialist referral pathways, none of which fully show up in appointment booking logs or patient complaint registers.

If you are...

  • Polyclinic operations or quality head
  • Multi-specialty clinic network operator
  • Patient experience or service lead
  • Revenue cycle or billing manager
  • Clinical director or medical superintendent

You're likely facing...

  • Return visit rates declining post-consultation
  • Referral leakage to competing facilities
  • Satisfaction scores masking specialty gaps
  • Billing disputes eroding patient trust
  • Staff-patient communication breakdown points

This will help answer...

  • Return visit drivers by specialty
  • Service stage causing patient drop-off
  • Segment differences: acute vs chronic patients
  • Fee perception vs perceived care value
  • Switching triggers and loyalty signals

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete patient journey from first appointment to long-term return behaviour.

TENETS 01

Clinic Discovery

  • First-visit referral source
  • Awareness channel by patient segment
TENETS 02

Appointment Experience

  • Booking channel preference
  • Scheduling friction, wait-time tolerance
TENETS 03

Clinical Quality

  • Doctor consultation satisfaction
  • Diagnosis clarity, treatment confidence
TENETS 04

Staff & Facility

  • Front-desk and nursing responsiveness
  • Facility cleanliness, comfort perception
TENETS 05

Billing & Fees

  • Fee transparency at point of care
  • Insurance claim friction, out-of-pocket tolerance
TENETS 06

Post-Visit Follow-Up

  • Discharge instruction clarity
  • Medication counselling, recall appointment compliance
TENETS 07

Return & Loyalty

  • Return visit triggers and barriers
  • Referral intent, patient retention drivers
TENETS 08

Competitive Switching

  • Alternative clinics considered or visited
  • Switch triggers, competitive service gaps

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 Polyclinic Patient Service Quality Satisfaction & Return Visit Behaviour 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
Rating service quality across consultation touchpoints
2
Ranking return visit drivers by patient segment
3
Benchmarking wait time and staff responsiveness scores
Deliverables
Satisfaction score matrix
Return intent drivers
Segment benchmarks
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older patients with low digital comfort
2
Quick pulse across multiple clinic locations
Deliverables
Representative patient coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Chronic care patients requiring sensitive experience verification
2
High-frequency visitors needing contextual journey mapping
Deliverables
Clinic-level insights
Rich journey maps
OPTIONAL
FGDs
Deliverables
Themes and quotes
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 capture older and low-digital patient segments across multiple polyclinic locations.
Consider adding: Face-to-face interviews for chronic care and high-frequency cohorts, plus a focused FGD layer to pressure-test service recovery messaging and return visit triggers.

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 outpatient healthcare services space.

CASELET 1

Appointment & consultation experience benchmarking across urban clinics (India)

CASELET 2

Physician trust & referral behaviour among chronic-care patients (South India)

Appointment & consultation experience benchmarking across urban clinics (India)

OBJECTIVE

A multi-specialty outpatient network needed to benchmark consultation experience across walk-in patients and appointment-booked patients , isolating which service touchpoints drove satisfaction scores and which triggered drop-off before a second visit.

WHAT WE DID

Ran a structured quant survey across 480 patients in 6 cities, capturing wait time tolerance , doctor communication quality , front-desk responsiveness , billing clarity , and likelihood to return by visit type and patient demographic segment.

DELIVERED

A touchpoint friction map ranked by drop-off risk, a satisfaction driver corridor by patient segment, and a prioritised list of service recovery levers tied to specific stages in the outpatient visit sequence.
CASELET 1

Appointment & consultation experience benchmarking across urban clinics (India)

CASELET 2

Physician trust & referral behaviour among chronic-care patients (South India)

Appointment & consultation experience benchmarking across urban clinics (India)

OBJECTIVE

A multi-specialty outpatient network needed to benchmark consultation experience across walk-in patients and appointment-booked patients , isolating which service touchpoints drove satisfaction scores and which triggered drop-off before a second visit.

WHAT WE DID

Ran a structured quant survey across 480 patients in 6 cities, capturing wait time tolerance , doctor communication quality , front-desk responsiveness , billing clarity , and likelihood to return by visit type and patient demographic segment.

DELIVERED

A touchpoint friction map ranked by drop-off risk, a satisfaction driver corridor by patient segment, and a prioritised list of service recovery levers tied to specific stages in the outpatient visit sequence.

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 walk-in patients, appointment-booked patients and corporate health scheme patients?

How will you measure return visit intention beyond simple ratings?

Will the survey map the full patient care journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our patient retention and clinic utilisation rates?

Still have questions?

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

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