The method

Insight-Driven Iteration

A disciplined loop for turning assumptions into evidence: run an experiment, capture the Customer insight, then proceed, pivot, or kill. The Workbench is the instrument that runs it.

PHASE 01

Problem

Prove your Customers actually have the problem you think they do — before building anything.

Experiments
Customer–Problem scan across segments
8–12 problem interviews at depth
Insight tagging & synthesis
Exit criteria
A focus Customer–Problem with real pain
Evidence the problem is worth solving
How we run it

The Founder's Workbench

The software isn't the product — it's the instrument the program runs on. It keeps every experiment, insight, and decision in one place.

Structure the model

Break the startup into Projects, Revenue Streams, and Customer Lines — every Customer, Problem, Solution, and Path in one place.

Guided experiments

Run problem interviews, MVP demand tests, and pricing tests from structured templates with clear exit criteria.

Interview analysis

Record, transcribe, and tag interviews. Claude-powered analysis reads every transcript and returns validated / invalid / insufficient verdicts.

AI Sensei

An always-on guide that names your riskiest untested assumption and tells you which experiment to run next.

Fundamental Thesis

Every experiment rolls up into a shareable, investor-ready evidence document — updated as you learn.

Where this comes from

We didn't invent customer discovery. We made it actionable.

Insight-Driven Iteration builds directly on Steve Blank's Customer Development and Eric Ries's Lean Startup. You already know Blank and Ries; pretending otherwise would cost us your trust.

What we add is structure and a clock: a fixed sequence of experiments, explicit exit criteria for each phase, a shared instrument that captures the evidence, and a cohort plus a coach that make you actually run the loop instead of reading about it. The books tell you what to do. The program makes you do it, in twelve weeks, with people watching.