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The minimum viable approach

A minimum viable experiment looks for the simplest way to run an experiment that validates the concept. This type of testing isn’t about designing ‘small tests’, it is about doing specific, focused experiments that give you the clearest signal of whether or not the hypothesis is valid. Of course, it helps that MVEs are often small so we can test quickly! It is important to challenge yourself by assessing every component of the test and its likelihood of impacting the way the user responds to an experiment. That way, you will be efficient with your resource and yield the same effect on proving the validity of the concept. Running the minimum viable experiment allows you to validate your hypothesis without over investing in levers that turn out to be ineffective.

If the MVE wins, then iterations can be ran to find the optimal execution – gaining learnings along the way. If the test loses, you can look at the execution more thoroughly and determine whether bad execution impacted the test. If so, re-run the MVE. If not, bin the hypothesis to avoid wasting resource on unfruitful concepts.

All hypotheses can be reduced to an MVE, see below a visual example of an MVE testing stream.

The minimum viable approach

The minimum viable approach

  • Browse experiments like your users will, with multi-page QA mode
  • Toggle between experiment variations
  • Toggle between experiment variations
  • Toggle between experiment variations
  • Toggle between experiment variations
  • Toggle between experiment variations

A minimum viable experiment looks for the simplest way to run an experiment that validates the concept. This type of testing isn’t about designing ‘small tests’, it is about doing specific, focused experiments that give you the clearest signal of whether or not the hypothesis is valid. Of course, it helps that MVEs are often small so we can test quickly! It is important to challenge yourself by assessing every component of the test and its likelihood of impacting the way the user responds to an experiment. That way, you will be efficient with your resource and yield the same effect on proving the validity of the concept. Running the minimum viable experiment allows you to validate your hypothesis without over investing in levers that turn out to be ineffective.

“A minimum viable experiment looks for the simplest way to run an experiment that validates the concept. This type of testing isn’t about designing ‘small tests’, it is about doing specific, focused experiments that give you the clearest signal of whether or not the hypothesis is valid. Of course, it helps that MVEs are

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The minimum viable approach

The minimum viable approach

  • Browse experiments like your users will, with multi-page QA mode
  • Toggle between experiment variations
  • Toggle between experiment variations
  • Toggle between experiment variations
  • Toggle between experiment variations
  • Toggle between experiment variations

A minimum viable experiment looks for the simplest way to run an experiment that validates the concept. This type of testing isn’t about designing ‘small tests’, it is about doing specific, focused experiments that give you the clearest signal of whether or not the hypothesis is valid. Of course, it helps that MVEs are often small so we can test quickly! It is important to challenge yourself by assessing every component of the test and its likelihood of impacting the way the user responds to an experiment. That way, you will be efficient with your resource and yield the same effect on proving the validity of the concept. Running the minimum viable experiment allows you to validate your hypothesis without over investing in levers that turn out to be ineffective.

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