SignalCraft Blog
Evidence-based guides on validating business ideas, understanding customer behaviour and researching markets before you build.
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The cornerstone guide to problem evidence, customer behaviour, willingness to pay, market signals, risky assumptions and practical validation experiments.
Read the complete validation guide →13 articles
How to test assumptions, use AI validation tools intelligently and decide what evidence justifies the next step.
A practical checklist for evaluating AI idea validation tools without being misled by polished reports or arbitrary scores.
ChatGPT can help you think through a startup idea. SignalCraft is designed for a different job: structured, repeatable market evidence gathering.
AI idea validators and market research answer different questions. Here is when each approach is useful and where the limits are.
A practical evidence-based framework for validating a business idea before you invest significant time or money.

What customers do is often different from what they say...
AI idea validators are not very good at validating ideas
How to interpret customer behaviour, feedback, qualitative signals and willingness to pay without mistaking interest for demand.

Sometimes there's a difference between what customers say they will do, and what they actually do
The difficulties of assessing qualitative data
People are generally pretty rubbish at judging the true value of something
How to understand markets, niches and competing signals before committing resources to an opportunity.

Five businesses that looked like they'd misjudged the market, but succeeded anyway

Businesses that thought they had a good idea, but failed
Sometimes you can't compete in a niche... in which case you need to create one
Speed to market may no longer be the key to success in the AI age