liveBook · Manning

Experimentation

As explained in Tech Startup Toolkit

A controlled experiment is a structured test that changes selected conditions while observing outcomes to evaluate a hypothesis.

Experimentation turns a go-to-market assumption into a controlled test. Instead of trusting a promising idea, test whether a market, feature, partner, or alliance actually works. section 16.5

Useful experiments can test:

  • Market adjacencies and new product functionality. section 16.5
  • Different channel-partner types and alliance structures. section 16.5
  • Customer demand through conversations and an early lighthouse customer that helps shape the product. section 16.5

A practical GTM test

A startup tests a new channel-partner type rather than committing scarce resources immediately. The result helps verify or modify its business model while the market is still changing. section 16.5

How Tech Startup Toolkit covers it

How deep it goes
Defines experiment targets and links testing to business-model verification, but does not detail experimental design or measurement.
Examples
Uses market adjacencies, product functionality, channel-partner types, alliance structures, and lighthouse customers as test cases.
What it assumes
Assumes a proposed go-to-market approach and access to prospective customers, while treating testing as essential startup discipline.
What you can do after
Apply controlled tests to evaluate go-to-market options and revise the business model.
How it connects
Connects go-to-market with product functionality, channel partners, alliances, customer discovery, and business-model validation.

Also explained in

Compare how 16 books explain experimentation →

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Tech Startup Toolkit. The section links point to the parts of the book it draws on.