Repeatability
High
The structure is consistent: ingest text, cluster by theme, count and rank, flag outliers. This is the same operation every time the dataset is refreshed, making it highly automatable.
Ambiguity Tolerance
Medium
The deliverable format (top 8–10 themes, addressability split, competitor flag) is reasonably crisp, but 'addressable via product changes vs. market fit' requires a judgment call that isn't fully defined — a human will need to validate the categorization logic.
Data & Tool Availability
High
The 180 exit interviews are a finite, self-contained text corpus — no live APIs or external permissions needed. As long as the agent receives the raw interview text, it has everything required.
Error Cost
Low
This is an internal analytical output used to inform product decisions, not execute them. A miscategorized theme or a slightly off percentage estimate is easily caught and corrected before any action is taken.
Human Judgment Required
Medium
Clustering themes from short text is well within current AI capability, but deciding whether a pattern reflects a product gap versus a fundamental ICP mismatch involves strategic context the agent doesn't have. Human review of the final framing is important.