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feature-investment-advisor

Evaluate feature investments using revenue impact, cost structure, ROI, and strategy. Use when deciding whether a feature deserves investment.

6,021stars739forksUpdated 7/29/2026

Security Assessment

Safe(96/100)
Security Score96/100

About feature-investment-advisor

Feature Investment Advisor is an interactive skill that guides product managers through deciding whether a specific feature deserves investment, using a financial lens rather than a generic scoring model. It solves the common problem of roadmap requests being prioritized on gut feel or top-line revenue alone, by connecting each feature to revenue impact, cost structure, ROI, and strategic value and then delivering a clear build or don't-build recommendation backed by supporting math.

The skill applies a four-part framework. It first classifies the revenue connection as direct monetization (new tier, add-on, usage charges) or indirect (retention, conversion, expansion). It then estimates cost structure across one-time development, ongoing COGS, and OpEx. It calculates ROI appropriate to the revenue type, factoring in gross margin rather than raw revenue, and finally weighs strategic value such as competitive moat, platform enablement, market positioning, or risk reduction that might override pure ROI. Operationally it runs as a guided conversation of up to four adaptive questions with three-to-five enumerated options at each decision point, gathering context like MRR/ARR, ARPU, churn, and gross margin. It defers to a shared workshop-facilitation protocol for interaction mechanics and includes an example conversation flow. It explicitly states its anti-patterns and when not to use it, such as table-stakes features, purely qualitative impact, unvalidated problems, or work under a week.

The target users are product managers and product leaders pressure-testing roadmap requests, comparing feature ideas, defending prioritization to leadership, or making build/buy/partner calls where financial impact is a key factor. It is positioned as a complement to methods like RICE and value-versus-effort, not a replacement.

FAQ

What information do I need to use it?

It works best with a one-to-two sentence feature description plus rough inputs like revenue connection, dev cost, COGS/OpEx, and business context such as MRR/ARR, ARPU, churn, and gross margin. You can supply estimates, and arriving with nothing works too since it opens by asking what the feature is.

How does the interaction work?

It runs as a guided session of up to four adaptive questions, offering three to five numbered options at decision points, following the shared workshop-facilitation protocol for entry modes, progress labels, and pause/resume.

When should I not use it?

Skip it for table-stakes features needed for competitive parity, purely qualitative impact with no measurable retention effect, problems you have not yet validated through discovery, or features under about a week of work.

Does it replace RICE or other prioritization frameworks?

No. It is explicitly a financial lens that complements methods like RICE, value versus effort, and user research, meant for when financial impact is a key decision factor.

Does it run any code or access external systems?

No. It is a conversational analysis skill built from SKILL.md and an example conversation file; all math is reasoned through the dialogue, with no scripts or external calls.

All Files

2 files
SKILL.md21.8 KB
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examples/conversation-flow.md12.9 KB
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Install feature-investment-advisor

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill