Experimentation / CRO

Experimentation and Testing Programs acknowledge that the future is uncertain. These programs focus on getting better data to product and marketing teams to make better decisions.

Research & Strategy

We believe that research is an integral part of experimentation. Our research projects aim to identify optimization opportunities by uncovering what really matters to your website users and customers.

Data and Analytics

90% of the analytics setups we’ve seen are critically flawed. Our data analytics audit services give you the confidence to make better decisions with data you can trust.

Research method

Win-loss Interviews

One-to-one interviews with recent buyers and lost prospects about how the purchase decision actually went: the trigger that started the search, the alternatives weighed, the objections that nearly killed the deal, and what tipped it in the end. Run like customer interviews, but the sample deliberately includes the deals you lost, which is where the sharpest positioning insight lives.

When to reach for it

Understand why deals are won and lost in the buyer's own words. Feeds ICP research, positioning and messaging with the market's real decision criteria and vocabulary, and locates the funnel stages where deals stall or die. Adds the why behind the patterns CRM win-loss analysis surfaces.

Strengths and limits

Pros

Covers the buyers you lost, whose reasons never surface in customer research. First-hand accounts of the decision replace the sales team's secondhand recollection, and the buyer's own language feeds straight into positioning and messaging work.

Cons

Lost prospects are harder to recruit and often need a neutral interviewer plus a real incentive to speak candidly. Samples stay small, so the findings show the shape of the decision rather than its frequency.

Practical considerations

Recruitment

Reach out within a few weeks of the decision, while the detail is still fresh. Lost prospects speak more honestly to a neutral third party than to anyone from the vendor, so consider who conducts the sessions. A meaningful incentive matters more here than in customer research, since lost prospects owe you nothing.

Sample size

Qualitative goals apply: a handful of wins and a handful of losses per segment is a workable guide, and the losses are usually where the sharpest insight sits. Pair with CRM win-loss analysis when the pattern needs scale behind it.

Common tools

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Recipes that use this method

A method earns its value when its signal corroborates others. Here is where this one does its work.

Last updated

July 20, 2026