When a Feature Misses Estimates: Case Study

What does it mean if a promising feature underperforms? Two possibilities: (1) we got the solution wrong (2) we got the problem wrong.

As product makers, it is best to avoid rushing to the second conclusion. A less-than-perfect solution might make us doubt the opportunity itself.

Here's the CASE STUDY of a similar situation we ran into at Bluehost Maestro. Full story on Medium: https://medium.com/@danishahmed/when-a-feature-misses-estimates-case-study-part-1-of-2-d4840549f7f7