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Home ❯Ken Survey ❯CUSTOMER SATISFACTION SURVEY ❯
WHEAT FARMING & INPUTS

Wheat Farmer Satisfaction Survey

Understand how wheat farmers evaluate seed performance, compare input brands, navigate advisory channels, and weigh procurement risks, so you can sharpen positioning, improve channel strategy, and strengthen retention across diverse farm segments.

Pan-India sample
Wheat farmers (Cultivators)
15-20 min
Talk to a Survey Consultant
Dealer Influence & ConversionIdentify dealer and message levers that improve seasonal brand conversion.
Performance & SatisfactionMap satisfaction drivers across varieties, farm sizes, and irrigation conditions.
TRUSTED BY LEADING BRANDS
Brand 0Brand 1Brand 2Brand 3Brand 4Brand 5Brand 6Brand 7Brand 8Brand 9Brand 10Brand 11Brand 12Brand 13Brand 14Brand 15Brand 16Brand 17Brand 18Brand 19Brand 20Brand 21Brand 22Brand 23Brand 24Brand 25Brand 26Brand 27Brand 28Brand 29Brand 30Brand 31
container image

CONTEXT & RELEVANCE

Why run this survey now

Most wheat farmers don't lose confidence purely on crop yield. They disengage due to inconsistent germination, dealer bias, input cost pressure, delayed advisory, and procurement uncertainty, none of which fully show up in sales reports or complaint logs.

If you are...

  • Seed portfolio leadership
  • Crop input marketers
  • Rural channel managers
  • Farmer engagement teams

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete wheat farmer journey from crop planning to post-harvest advocacy.

TENETS 01

Farm Context

  • Landholding and irrigation profile
  • Wheat area and season intensity
TENETS 02

Variety Choice

  • Seed variety selection criteria
  • Brand and source preference
TENETS 03

Input Purchase

  • Procurement channel and timing
  • Availability and authenticity confidence
TENETS 04

Advisory Support

  • Information source trust
  • Timeliness and usefulness
TENETS 05

Crop Performance

  • Germination and crop establishment
  • Yield and stress resilience
TENETS 06

Price & Value

  • Input affordability and trade-offs
  • Premium justification and returns
TENETS 07

Channel Service

  • Dealer experience and reliability
  • Complaint and replacement handling
TENETS 08

Loyalty & Advocacy

  • Repurchase and switching intention
  • Recommendation and brand trust
Request a scope validation call

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?
Less than 300300-500500-1,0001,000-3,0003,000+Not sure yet (recommend based on markets and cuts required)
Target audience
Who should we survey?
Irrigated wheat growersRainfed wheat growersTenant cultivatorsProgressive farmersSeed-replacing farmers
Region
Which regions should we cover?
NorthSouthWestEastPan-IndiaMulti-country
Segments
How should we slice the data?
Farm size: marginal vs small vs medium-largeIrrigation: canal vs tube-well vs rainfedVariety type: traditional vs high-yielding vs climate-resilientSeed source: dealer vs cooperative vs farm-savedYield band: below 30 vs 30-45 vs above 45 quintals
YOUR SELECTION
Clear all
Sample size
Not Selected
Target audience
Not Selected
Region
Not Selected
Segments
Not Selected
Sample size
How many respondents do you need?
Not Selected
Target audience
Who should we survey?
Not Selected
Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected

METHODOLOGY

Survey approach

For Wheat Farmer Satisfaction Survey, we recommend a mixed quantitative approach with flexible data-collection modes to balance reach, depth, and verification across farm sizes, irrigation systems, seed sources, and wheat-growing regions.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Compare regional satisfaction patterns
2
Quantify brand and variety preferences
3
Track repeat purchase intent
Deliverables
Satisfaction scorecard
Variety preference map

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

Cost Breakdown

Questionnaire DesignIncluded

Data Collection (CPI + 50C)Variable

Analysis & ReportIncluded
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 agricultural inputs and services space.

CASELET 1

Wheat Seed Brand Positioning & Dealer Influence Study (North India)

CASELET 2

Irrigation Advisory Service Segmentation & Pricing Study (Punjab Haryana)

Wheat Seed Brand Positioning & Dealer Influence Study (North India)

OBJECTIVE

A pan-India seed brand needed to understand how progressive growers , smallholders , and tenant farmers compared branded seed, farm-saved seed, and cooperative supply across trust, availability, perceived yield, and dealer recommendation.

WHAT WE DID

We ran a structured survey with 1,200 wheat growers across six states, stratified by farm size and irrigation. The instrument captured brand awareness , purchase triggers , dealer influence , switching history, and willingness to pay.

DELIVERED

The engagement produced a preference map , message territories , channel levers , and segment-level positioning guidance showing where performance claims, availability assurances, demonstration plots, or dealer endorsement carried the greatest relevance for each farmer cohort.
Talk to Survey Consultant
CASELET 1

Wheat Seed Brand Positioning & Dealer Influence Study (North India)

CASELET 2

Irrigation Advisory Service Segmentation & Pricing Study (Punjab Haryana)

Wheat Seed Brand Positioning & Dealer Influence Study (North India)

OBJECTIVE

A pan-India seed brand needed to understand how progressive growers , smallholders , and tenant farmers compared branded seed, farm-saved seed, and cooperative supply across trust, availability, perceived yield, and dealer recommendation.

WHAT WE DID

We ran a structured survey with 1,200 wheat growers across six states, stratified by farm size and irrigation. The instrument captured brand awareness , purchase triggers , dealer influence , switching history, and willingness to pay.

DELIVERED

The engagement produced a preference map , message territories , channel levers , and segment-level positioning guidance showing where performance claims, availability assurances, demonstration plots, or dealer endorsement carried the greatest relevance for each farmer cohort.

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 irrigated growers, rainfed growers and tenant cultivators?

How will you measure wheat variety preference beyond simple ratings?

Will the survey map the full wheat cultivation journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our farmer acquisition and retention strategy?

Still have questions?

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

Book a Discovery Call
  • Product strategy executives
  • You're likely facing...

    • High trial rates coexist with weak repeat purchase after harvest
    • Dealer recommendations create uneven brand consideration across nearby villages
    • Delayed crop advice increases avoidable input losses during stress periods
    • Premium pricing faces limited value recognition among smaller farms
    • Positive harvest experience still produces low advocacy intent

    This will help answer...

    • Variety preference drivers
    • Farmer satisfaction gaps
    • Dealer influence pathways
    • Acceptable pricing corridors
    • Retention and advocacy levers
    Channel conversion cuts
    OPTIONAL
    CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
    Best for
    1
    Reach farmers with limited smartphone access
    2
    Validate responses from remote wheat-growing districts
    Deliverables
    Phone response dataset
    Access-adjusted cuts
    SELECTIVE
    Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
    Best for
    1
    Interview farmers during mandi or village visits
    2
    Verify field realities among low-literacy cohorts
    Deliverables
    Field verification notes
    Village cohort profiles
    OPTIONAL
    FGDs
    Best for
    1
    Uncover hidden reasons behind seed brand switching
    2
    Explore trust gaps across dealers and extension advisors
    Deliverables
    Switching reason map
    Advisory trust territories
    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: CATI and online surveys across digitally accessible and phone-reachable wheat farmers
    Consider adding: Face-to-face interviews and FGDs in low-connectivity districts or strategically important irrigation belts
    Confirm approach
    Request timeline