What is the Next Feature Fallacy?

In this episode of Datadrivet, Joni Lindgren and Jasmin Yaya explain the Next Feature Fallacy: the belief that the next feature will fix growth, and how a focus on shipping can quietly sabotage a product organisation.

The starting point is a mismatch. Teams working agile are measured on how fast they build, but they are often not building the right things. The hosts note that most companies they have worked with do not know their 1 Day, 7 Day, and 30 Day retention, so they ship without knowing whether anything they ship makes users come back.

A lot of this comes down to what gets measured. The industry defaults to tracking story points and burndown rather than the KPIs that show whether a team is building the right things. What you measure is what you optimise, and if you optimise for shipping features fast, you stop optimising for learning fast. The hosts argue agile was not designed around user needs, while lean was, and lean can include agile practices inside it.

They also name the human reasons the fallacy persists. Sunk cost makes teams ship an underperforming feature because the work is already done. And people overweight their own ideas, which is why A/B testing helps: it checks the idea against real behaviour rather than conviction. For something like a social platform, a meaningful goal is daily active users coming back rather than a count of features shipped. The episode notes point to Andrew Chen’s article on the concept.

The fix is cultural and it needs leadership behind it. Prioritise learning from the top, measure results against business goals instead of feature count, study how users behave in their first 7 days before planning the next sprint, and put A/B testing in place before building the next thing.

The takeaway: the next feature is rarely the answer. Measure whether what you ship changes behaviour, and optimise for learning before speed.

Listen to the full episode of Datadrivet for the full discussion.