Generative Competitive Research

You can build it in a weekend. Can you sell it?

Anyone can ship a product now. What's rare is knowing who it's for, what they'd pay, and why they'd switch. We find out — by talking to real buyers in your market, in weeks, not quarters.

18 years · 338 studies · 111,715 respondents · ESOMAR member

GCR's diagnosis room, where evidence is reviewed before a recommendation

The most expensive thing you can build is something nobody asked for

The fastest way to lose a year: build for six months, polish for three, launch, hear nothing, and only then start asking people what they actually wanted.

Building used to be the hard part. It isn't any more. You can have something running by tonight. The hard part was always the same thing it is now: convincing someone you've never met that what you made is worth their money.

That conversation goes better when you already know what they'd say. That's the entire job we do.

What is customer validation research?

Customer validation research is structured evidence-gathering with the people you intend to sell to — before or alongside building — to confirm the problem is real, the buyer is who you think, and the price is one they'd actually pay. It combines qualitative interviews (why people behave as they do) with quantitative testing (how many, how much, how likely). Done properly, it replaces founder assumption with recorded, citable evidence.

Four ways in. Fixed scope, fixed timeline.

Signal Check

  • 8–12 in-depth interviews with your defined ICP, recruited and screened by us
  • Senior researcher moderates every session — no junior hand-off
  • Verdict memo: proceed, pivot, or park, with the evidence behind it
  • Recordings and full transcripts

Willingness to Pay

  • Quantitative pricing study, n=150–300 in-market buyers
  • Van Westendorp price sensitivity + Gabor-Granger demand curve
  • Acceptable range, optimal point, and revenue-maximizing point
  • Segment cuts by company size, role, or buying stage

Positioning Test

  • Monadic test of 3–4 value propositions or messages
  • Measures clarity, relevance, differentiation, and purchase intent
  • Identifies which message wins, with which segment, and why
  • Winning copy directions, evidenced

Investor Evidence Pack

  • Market sizing built from primary data, not scraped reports
  • Buyer demand evidence you can cite and attribute
  • Competitive landscape and positioning gap
  • Slide-ready, source-referenced

Need something between these? Tell us the decision you're facing and we'll size the smallest study that answers it.

Why founders come to us instead of the obvious alternatives

Asking your networkAI-generated “research”Traditional agencyGCR
Speaks to real, screened buyers Sometimes No Yes Yes
Free of politeness bias No n/a Yes Yes
Statistically usable No No Yes Yes
Usable in an investor deck No No Yes Yes
Priced for a startup Yes Yes No Yes
Weeks, not quarters Yes Yes Rarely Yes

We do use AI — to accelerate analysis. We do not use it to invent respondents. Every person in your study is a real, recruited, screened human. No synthetic panels, ever.

How it runs

  1. Diagnose

    Pin down the exact decision the study has to settle.

  2. Design

    Build the smallest instrument that can answer it.

  3. Field

    Talk to real, screened buyers in your market.

  4. Decode

    Turn interviews and data into a defensible read.

  5. Decide

    A verdict memo — proceed, pivot, or park.

The senior researcher who diagnoses your problem is the one who runs it. Start to finish.

Not our first launch

GCR has run 338 studies across 33 sectors over 18 years, with 111,715 respondents interviewed. We've done concept, pricing, brand and buyer research for companies including Netflix, Spotify, Amazon, Betfair, Adidas, Coca-Cola and Abbott, and for early-stage teams with one product and one question.

ESOMAR individual membership — GCR

Trusted by teams building and scaling brands

  • Laura Ashley
  • Groupe SEB
  • Amadeus
  • JMC
  • Betfair
  • Rittal
  • IQVIA
  • Asociación Porkcolombia
  • Rockwell Medical
  • Abbott
  • Merck
  • PMMI
  • Energiteca
  • Mazda
  • ExxonMobil
  • Pepsi
  • DIRECTV
  • Coca-Cola
  • Buchanan's
  • General Motors Colmotores
  • Warner Bros. Discovery
  • Bajaj
  • Alcatel
  • Aquila
  • ESPN
  • USA Pears
  • Netflix
  • Cruz Roja Colombiana
  • CEB
  • Renault
  • Spotify
  • Mothercare
  • Seguros Bolívar
  • Alimentos Polar
  • Amazon
  • Novo Nordisk
  • M&Co
  • adidas
  • DiDi
  • Bridgestone
  • VFS Global
  • Citi
  • Level Up Games
  • Diversey
  • Sony VAIO
  • Hyundai Colombia
  • Mahindra
  • Vetmex Animal Health

Case study

What this looks like when it works

The situation

A content-subscription company was rebuilding its new tier for lower-income segments in Colombia.

The assumption

The team believed a low-cost, two-person shared subscription package would work well.

What we found

The target profile confirmed that shared subscriptions like this break down once the two people's content preferences diverge substantially.

What changed

The team restructured the low-cost tier around a single, more compelling individual subscription for the validated target.

A shared low-cost subscription only works if two people want the same content. The data showed they rarely do.

Questions founders ask

How fast can you turn this around?
It depends on the package and how fast we can recruit your specific audience — you get an exact date before you commit, not after. We field in parallel where possible, and we won't take a project we can't deliver on the date we promise.
We're pre-launch and pre-revenue. Is this too early?
It's the ideal moment. Validation is cheapest before the build, when changing your mind still costs nothing but a conversation.
Can you reach our buyers? They're niche.
Yes. Recruiting hard-to-reach B2B audiences — clinicians, IT directors, procurement leads, specialist trades — is standard work for us. Tell us who they are and we'll tell you honestly whether we can reach them.
Can you research the US market?
Yes — it's routine work. Our clients are based in the US and UK, and we've delivered research for Netflix, Spotify, Amazon, Betfair, Abbott and Merck. We recruit and interview US buyers in English, digitally, and we add in-market fieldwork across Latin America when a client is expanding there.
Is any of this AI-generated?
No. AI speeds up our analysis. It never replaces a respondent. Every data point comes from a real, screened person.
What do we actually receive?
Findings tied to your decision, the raw material behind them (transcripts, data tables, recordings), and a live session where we walk you through what to do next.
What if the research says the idea doesn't work?
Then we tell you, plainly. That is the single most valuable outcome we can sell you, and it's usually the cheapest month you'll ever spend.

Talk to buyers before you talk to investors

Twenty minutes with a senior researcher. We'll pressure-test your assumption and tell you the smallest study that would settle it. No pitch.

So a researcher can reach you directly if that is faster than email.

Preferred time for the call Optional

Just a preference. We confirm by email.