Combine qualitative and quantitative data for hypotheses
WHAT IT TESTS: mixed-methods reasoning to build strong hypotheses. OUTLINE: quant reveals what and where, qual reveals why, then triangulate into a falsifiable hypothesis with a metric. RED FLAG: treating anecdotes as proof or analytics as self-explanatory.
WHAT IT TESTS: whether you can fuse the what and the why into a testable hypothesis. ANSWER OUTLINE: use quantitative analytics to locate the problem, such as a funnel step with a sharp drop-off, establishing where and how big. Use qualitative interviews to explain the motivation and mental model behind that behavior, the why. Triangulate the two: the anecdote suggests a mechanism, the data confirms it is widespread and worth solving. Convert the combined insight into a falsifiable hypothesis with a predicted direction and a primary metric.
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- #mixed-methods
- #user-research
- #hypothesis
- #analytics
- #experimentation
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