- Test three or more assets at once to understand their correlation.
- Limit your experiments to first-time installers only.
- Avoid revisiting previously tested assets once you see how they perform.
- Run your experiments for at least seven days for better accuracy.
The correct answer is: Run your experiments for at least seven days for better accuracy.
Here’s why:
- Statistical Significance: Running an experiment for a shorter duration might not yield enough data to reach statistical significance. A longer duration, such as seven days, allows for more data collection and increases the reliability of the experiment’s results.
- User Behavior Variations: User behavior can vary depending on the day of the week, time of day, or other external factors. A longer experiment duration helps capture these variations and provides a more representative sample of user interactions.
- Minimizing External Influences: Short-term fluctuations in user behavior or external events might skew the results of a short experiment. A longer duration helps smooth out these fluctuations and provides a more accurate assessment of the impact of your changes.
The other options are not recommended best practices:
- Testing Multiple Assets: Testing too many assets simultaneously can make it difficult to isolate the impact of each individual change and lead to inconclusive results.
- Limiting to First-Time Installers: While focusing on first-time installers can be useful for certain experiments, it might not be appropriate for all scenarios. Consider the specific goals of your experiment and choose the target audience accordingly.
- Avoiding Previously Tested Assets: Revisiting previously tested assets can be beneficial if you have new hypotheses or want to validate previous findings under different conditions.
The main chapter where the reference to the correct answer can be found is “Optimize your store listing with experiments”. The section on “Set up experiments” mentions that experiments should run for at least seven days to get enough data for reliable results.