👟 Evaluate User Path
For instance, if you are an ecommerce site, then you can evaluate the user path from product pages to checkout. Using Google Analytics, Optimizely or another analytics tool, explore your funnel for key drop off and conversion points and document that like the example below. As you can see from this flow, 48% of users exit the website from the product page. What could be preventing them from adding the product to the cart? Perhaps the product page does not offer enough information, and they go searching for the product elsewhere?
🤔 Hypothesize
Using insights from exploring your user path, create a list of hypotheses and tests you’d like to run and plug them into a spreadsheet like this:
The next section is about “reeling it back in” and narrowing your hypotheses down into viable test ideas.
Advanced Custom Scoring
While the chart above is a great first step, those who want to dive into a more advanced approach to prioritization should consider custom scoring. In advanced custom scoring, you attempt to negate as much bias as possible by assigning points to each test based on the following criteria: After going through this, see which tests have the highest scores and prioritize from there.