How do you explain user drop-offs to non-technical stakeholders?
I work closely with product and growth teams, and one challenge I keep running into is explaining user drop-offs to people who aren’t deep into analytics.
The data usually shows where users leave, but turning that into a clear, confident explanation—without overloading dashboards or making assumptions—can be tough. Especially when the audience is leadership or business stakeholders.
I’m curious how others handle this in practice:
What methods, signals, or narratives have helped you explain user drop-offs in a way that actually resonates with non-technical stakeholders?
Would love to learn from real examples and approaches that have worked for you.
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I think the where is usually clear from any basic funnel. The real challenge is explaining the why without getting lost in event logs. In my experience, the best way to resonate with stakeholders is to stop showing charts and start showing one or two session recordings of a user actually struggling. Seeing a real person get stuck is worth a thousand dashboards. Do you also use video context/session replays or do you stick mainly to quantitative data?
PerceptInsight
@valeriia_kuna That’s such a good point. I haven’t really used session recordings much. I’ve mostly leaned on patterns in the data to build the story. But I can imagine how powerful it must be to actually show someone struggling instead of just talking about percentages. That probably shifts the conversation instantly.
IXORD
For explaining this to non-technical people, a non-technical explanation of the issue is needed. If you convert the analytics into simple terms, it will help everyone better understand the situation
PerceptInsight
@ixord Absolutely agree with you. When you translate the numbers into simple terms, it becomes much easier for everyone to understand and connect with the problem.