CX Expert Knowledge · Applied CX Strategy
Startup CX Anti-Patterns
Your analytics cover half a percent of the customer's day. The reasons live in the other 99.5.
Startups fall into repeatable traps: mistaking early MVP traction for fit, mistaking in-app analytics for understanding, and dismissing drop-off numbers. Metrics can rise for terrible reasons, and scaling a product with holes scales the holes.
The MVP trap is stopping at the skateboard. Early traction is a clue into the rest of the iceberg of what users need, and treating it as the finish line is a lost opportunity. The data trap is its twin: people spend perhaps half a percent of their day in your app, and if that is all you study, you will never learn why they behave as they do. The answers are upstream, outside your product.
Metrics lie when read without context. A change ships, engagement rises, and the product manager doubles down. In reality, users stayed longer because they lost their place and were trying to find it again. The metric lifted for terrible reasons that damaged the brand and the experience.
- Follow the money: in two-sided marketplaces, B2C users may just be bait for B2B revenue
- Scaling multiplies holes as well as benefits; product-market fit must scale too
- Build feedback loops and processes that close gaps as you grow
- Do not dismiss drop-off numbers with customers will figure it out
Apply this
Reading about startup cx anti-patterns is one thing. Seeing where it applies in your journey is the useful part.