There is no one-size-fits-all method to validate your tech assumptions, but there are some general steps and principles to follow. First, identify and prioritize your key tech assumptions using tools like the Lean Canvas or the Assumption Mapping. Then, define your validation criteria and metrics so that you can measure and analyze them. After that, choose an appropriate method and tool for testing your assumptions – such as prototyping, simulation, user testing, surveys, interviews, landing pages, analytics, etc. – using tools like the Experiment Library or the Validation Stack. Once you have selected the right tool for the job, run your validation experiment and collect data with tools like Google Forms, Typeform, SurveyMonkey, UserTesting, Hotjar and Google Analytics. Finally, analyze your data and draw conclusions by comparing it to your validation criteria and metrics with tools like Excel, Google Sheets, Tableau or Power BI. Decide whether your tech assumption is validated, invalidated or partially validated and take the necessary actions.