AVOID THESE PITFALLS
Common Mistakes in Product Analytics
Buying for Series B at Series A
Over-investing in complex tools before reaching product-market fit.
Costly & underutilized
One-Time Instrumentation
Analytics data decays without regular QA and maintenance.
Stale & unreliable data
Dashboards as a Substitute
Having many dashboards but no clear questions or decisions.
Information overload, no action
Underinvesting in Taxonomy
Poorly designed event taxonomy makes analysis difficult.
Inconsistent & hard to use
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