Question 1

Does Decisions Lab help us define product-market fit?

Accepted Answer

No. Decisions Lab works best when you already have a product that solves a real problem, early customer evidence, and a working understanding of the market. We help you choose which message should lead, which objection is weakening it, and what proof makes the claim credible.

Question 2

How is this different from analyzing our calls or using a general-purpose AI model?

Accepted Answer

Customer calls show what a limited set of existing customers said. General-purpose AI can summarize and draft from that evidence. Decisions Lab uses those calls as a starting point, identifies broader groups of comparable prospects, and simulates each group using the same messages, questions, and scenarios. This helps your team examine whether insights from early customers may hold across a larger group of similar buyers and turn them into a more repeatable messaging system.

Question 3

How can simulated buyers produce useful evidence?

Accepted Answer

Each simulated profile is grounded in professional role, company information, company news, public professional activity, social context, and evidence supplied by your team. These signals are used to model how defined prospects may interpret a message, what they may question, and why different groups may respond differently. The results are structured hypotheses that can be compared with held-back calls, campaign responses, and market outcomes. They do not reveal hidden customer truth.

Decisions Lab

Blog

Decisions Lab vs. In-House Buyer Simulation: When DIY Is Enough and When It Is Not