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Evaluate feature investments using revenue impact, cost structure, ROI, and strategy.
Passed 20 of 22 test cases with the skill, and 16 of 22 without it.
and 4 more in the full report
4 fixed16 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need help evaluating a dark mode feature request from a financial perspective. Act as my feature financial advisor and ask me the necessary questions one by one—covering context, expected revenue connection, engineering and operational costs, and constraints—then present a final decision synthesis with calculated ROI, payback timeline, and recommended next steps.
| Checked | Without skill | With skill |
|---|---|---|
| The response requests an entry mode choice among Guided, Context dump, or Best guess. | Missed | Passed |
| The response limits the first turn to a single prompt focused on gathering feature context and financial baseline metrics. | Passed | Passed |
| The response includes structured progress tracking labels. | Passed | Passed |
The instructions your model reads when the skill loads.
Guide product managers through evaluating whether to build a feature based on financial impact analysis. Use this to make data-driven prioritization decisions by assessing revenue connection (direct or indirect), cost structure (dev + COGS + OpEx), ROI calculation, and strategic value—then deliver actionable build/don't build recommendations with supporting math.
This is not a generic prioritization framework—it's a financial lens for feature decisions that complements other prioritization methods (RICE, value vs. effort, user research). Use when financial impact is a key decision factor.
A systematic approach to evaluate features financially:
Revenue Connection — How does this feature impact revenue?
Cost Structure — What does it cost to build and run?
ROI Calculation — Is the return worth the investment?
Strategic Value — Non-financial value that might override pure ROI
test cases passed, vs 16 / 22 without
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