FLEET & WORKSHOP SERVICES

Fleet Maintenance & Workshop Network Study

Fleet Managers, Workshop Network Heads, and Aftersales Directors evaluate service coverage, turnaround reliability, and vendor cost structures, so you can sharpen network positioning, fix pricing gaps, and convert underserved fleet segments.

Pan-India sample
Fleet operators (Fleet Managers)
15-20 min
Talk to a Survey Consultant
Service gap & conversion frictionIdentify where fleet operators disengage, delay bookings, or switch workshop vendors.
Network coverage & cost benchmarksBenchmark turnaround time, service cost, and vendor selection criteria by fleet size.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most fleet operators don't lose uptime purely on parts availability. They lose it due to inconsistent workshop quality, untracked technician capacity, fragmented service histories, opaque labour pricing, and misaligned preventive maintenance schedules, none of which fully show up in telematics dashboards or fleet management software.

If you are...

  • OEM aftersales network head
  • Fleet maintenance contract provider
  • Workshop network development lead
  • Fleet operations or uptime manager
  • Commercial vehicle service strategist

You're likely facing...

  • Workshop quality: authorised vs independent
  • Unplanned downtime vs scheduled service gap
  • OEM network = costly/slow perception
  • Contract scope confusion: parts vs labour
  • Technician availability at peak demand

This will help answer...

  • Workshop selection drivers by fleet size
  • Service drop-off and delay stage
  • Authorised vs independent spend split
  • Labour rate and contract pricing tension
  • Switching triggers and retention levers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete fleet maintenance journey from vehicle onboarding to workshop exit.

TENETS 01

Workshop Discovery

  • First workshop contacted, OEM vs. independent
  • Referral source, digital vs. fleet manager
TENETS 02

Network Coverage

  • Geographic reach across depot corridors
  • Multi-brand capability, commercial vehicle mix
TENETS 03

Service Scheduling

  • Planned maintenance intervals, downtime windows
  • Emergency breakdown turnaround benchmarks
TENETS 04

Parts & Supply

  • OEM vs. aftermarket parts split
  • Parts lead time, stockout frequency
TENETS 05

Cost & Pricing

  • Labour rate benchmarks, AMC vs. pay-per-visit
  • Total maintenance cost per vehicle per year
TENETS 06

Tech & Diagnostics

  • Telematics integration, OBD diagnostic adoption
  • Fleet management software, workshop connectivity
TENETS 07

Workshop Quality

  • Technician certification, OEM-trained staff ratio
  • Repeat repair rate, rework frequency
TENETS 08

Vendor Switching

  • Contract renewal triggers, exit barriers
  • Competitive workshop evaluation criteria

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 Fleet Maintenance and Workshop Network Study, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across fleet operators, workshop managers, and network planners.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking workshop selection criteria by fleet size
2
Measuring scheduled vs breakdown maintenance split
3
Benchmarking service turnaround satisfaction scores
Deliverables
Workshop preference ranking
Maintenance cost bands
Network gap matrix
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Small fleet owners with low digital access
2
Quick coverage across dispersed depot clusters
Deliverables
Depot-level coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Large fleet operators with complex multi-vendor contracts
2
Workshop principals in high-density transport corridors
Deliverables
Corridor cluster insights
Vendor relationship maps
OPTIONAL
FGDs
Deliverables
Themes and quotes
Contract 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 small fleet owners and depot-level operators with limited digital access.
Consider adding: F2F interviews for large fleet accounts and high-density transport corridors, plus a focused FGD layer to pressure-test workshop network value propositions with Fleet Maintenance Managers.

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)
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  • 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)
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  • Cayman Islands Dollar (KYD)
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  • Lao Kip (LAK)
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  • 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 fleet services and workshop network space.

CASELET 1

Roadside assistance channel preference & friction mapping (India)

CASELET 2

Preventive maintenance contract uptake & pricing corridor study (North India)

Roadside assistance channel preference & friction mapping (India)

OBJECTIVE

A pan-India commercial vehicle brand needed to map how long-haul fleet operators and last-mile delivery fleets choose between OEM-authorised service channels and independent roadside workshops during unplanned breakdowns, and what drives repeat channel selection.

WHAT WE DID

Ran a structured quant survey across 6 states with 320 fleet decision-makers, capturing channel shortlisting triggers, average downtime tolerance, technician trust scores, and parts availability perception at each workshop type, segmented by fleet size and vehicle category.

DELIVERED

A channel preference map by fleet segment, a ranked friction list across 9 service touchpoints, and a set of channel levers identifying where authorised networks lose operators to independent workshops during the first 48 hours of a breakdown event.
CASELET 1

Roadside assistance channel preference & friction mapping (India)

CASELET 2

Preventive maintenance contract uptake & pricing corridor study (North India)

Roadside assistance channel preference & friction mapping (India)

OBJECTIVE

A pan-India commercial vehicle brand needed to map how long-haul fleet operators and last-mile delivery fleets choose between OEM-authorised service channels and independent roadside workshops during unplanned breakdowns, and what drives repeat channel selection.

WHAT WE DID

Ran a structured quant survey across 6 states with 320 fleet decision-makers, capturing channel shortlisting triggers, average downtime tolerance, technician trust scores, and parts availability perception at each workshop type, segmented by fleet size and vehicle category.

DELIVERED

A channel preference map by fleet segment, a ranked friction list across 9 service touchpoints, and a set of channel levers identifying where authorised networks lose operators to independent workshops during the first 48 hours of a breakdown event.

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 light commercial vehicle fleets, heavy truck fleets and mixed-asset fleets?

How will you measure workshop selection beyond simple ratings?

Will the survey map the full maintenance service journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our workshop network expansion decisions?

Still have questions?

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

Book a Discovery Call