Checklist for validating business hypotheses in startups

The Checklist for validating business hypotheses in startups template is a practical tool designed to support entrepreneurial teams in testing their main business assumptions before scaling or making major strategic decisions.

Its purpose is to help validate whether a key hypothesis —about the customer, problem, solution, channel, or revenue model— holds true in practice, avoiding progress based solely on intuition or untested assumptions.

Unlike a theoretical document, this checklist works as a clear and actionable operational guide that allows teams to define pilots, run them quickly, and extract learnings in a structured way. It is designed to facilitate team alignment, reduce bias, and improve the quality of decision-making in highly uncertain contexts.

Template sections explained in detail

First, the template includes a pilot test header, where the basic elements of the validation process are defined: pilot name, dates, owner, objective, main hypothesis, type of hypothesis, validation method, and success criteria (Go / No Go). This information helps frame the pilot correctly from the outset and avoid weak or poorly designed validations.

Next, the checklist is structured into three main phases covering the full validation cycle:

1. Preparation

This phase focuses on properly defining the hypothesis and the pilot conditions. It includes identifying the main risk, defining the target customer, formulating measurable assumptions, and selecting the most appropriate validation method (interviews, landing page, pilot, ad test, etc.).

It also covers preparing materials, defining minimum evidence, and establishing clear decision rules. Its goal is to ensure that the pilot is well designed before execution.

2. Validation execution

In this phase, the pilot is launched under real conditions, prioritising speed and learning. It focuses on interacting with real customers, collecting data and evidence, and avoiding bias in the interpretation of results.

The checklist reinforces best practices such as not changing multiple variables at once, recording all relevant information, and stopping the pilot if it is not generating meaningful learnings. This phase makes it possible to obtain clear signals about the validity of the hypothesis.

3. Analysis and decision

This phase consists of evaluating the results obtained against the success criteria initially defined. It makes it possible to determine whether the hypothesis has been validated, partially validated, or not validated.

Based on this analysis, key decisions are made: continue, iterate, pivot, or abandon the line of work. The main learnings and the impact on the project strategy are also identified, ensuring process traceability.

Notes and learnings

The template includes a final space to capture positive and negative insights, making it easier to document learnings and reuse them in future pilots. 

Positive notes help identify what worked well in the design and execution of the pilot, while negative notes help detect common mistakes, biases, lack of evidence, or framing issues.

This section is not intended to “judge” the outcome, but rather to improve the quality of future validations, strengthen team learning, and provide traceability on what to avoid or adjust in upcoming pilots.

Put the checklist into practice

This checklist helps you validate your business hypotheses in a structured way before making relevant strategic decisions, bringing clarity and reducing the risk associated with uncertainty.

Through this tool, you will be able to design pilots, obtain real evidence, and extract actionable learnings, moving forward with greater confidence in the development of your project. 

Start validating your hypotheses, make decisions based on real data, and improve the strength of your business model from the earliest stages. Discover more ready-to-use tools in the content section of the ONE Platform.