Schema consolidation becomes risky when historical behavior must still tell the same story.
Broad mapping coverage reduces manual effort, while a small semantic error can distort years of analysis.
Who you’d be doing this for
“If our retention trend breaks at cutover, nobody will trust the new reporting.”
Arnaud Wilson · Director of Product Analytics
Leads a global product analytics team consolidating event data after a platform rebuild.
What is at stake
A dry run found mappings that preserve names but alter key funnel meaning before an irreversible cutover. You have to weigh broad automation coverage against the evidence needed to trust each critical mapping.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- mapping coverage vs. semantic certainty
- cutover date vs. review depth
- automation scale vs. human verification
- customer continuity vs. data access limits
- manual assurance vs. reusable learning
Why Amplitude
Enterprise event migrations in Amplitude must preserve the funnels, cohorts, and retention histories customers rely on for product decisions.
Written with these in mind
Not your kind of problem? 6 more at Amplitude, or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.