Repeatability
High
The transformation logic — parse currency strings, convert written numbers, map ranges to bins — is structurally identical across all rows and future surveys. Once rules are codified, the agent can reapply them deterministically.
Ambiguity Tolerance
High
The four output bins are explicitly defined and the task asks for documented rules, so success criteria are crisp. Blanks get flagged rather than guessed, which removes the hardest judgment call.
Data & Tool Availability
High
The input is a CSV export from Google Forms — a standard, accessible format. The agent needs only file access and a Python/pandas environment, both of which are routine.
Error Cost
Low
Miscategorized rows affect market research analysis but not irreversible decisions. The documented transformation rules make errors auditable and correctable before the data is used downstream.
Human Judgment Required
Low
Most entries follow parseable patterns; genuine edge cases (e.g., 'a lot' or 'not sure') should be flagged for human review rather than guessed. The core work is pattern matching, not subjective interpretation.