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feature-investment-advisor

Evaluates feature investments using revenue impact, cost structure, ROI, and strategic value analysis.

1|1|Updated Jul 6, 2026
Search Tags:#product management#feature prioritization#roi analysis#payback period#saas metrics#revenue impact#build decision
One-click install
npx skills add https://github.com/muhammaddadu/ai-skill-collection --skill feature-investment-advisor-muhammaddadu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: feature-investment-advisor
Source: https://github.com/muhammaddadu/ai-skill-collection/tree/main/1-exploration/feature-investment-advisor
Command: npx skills add https://github.com/muhammaddadu/ai-skill-collection --skill feature-investment-advisor-muhammaddadu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Product managers often struggle to justify build/don't-build decisions with financial rigor, relying on gut feel or generic scoring frameworks. This Skill guides you through a structured financial evaluation of any feature so you can defend prioritization decisions with concrete ROI math. ## Core Features & Use Cases - Revenue Connection Analysis: Classifies features by direct monetization, retention improvement, conversion lift, or expansion enablement, then calculates the corresponding revenue impact. - Cost Structure & ROI Calculation: Computes development cost, ongoing COGS/OpEx, contribution margin, payback period, and year-over-year ROI. - Actionable Recommendations: Delivers one of four recommendation patterns (build now, build for strategic reasons, don't build, build later) with supporting math and next steps. - Use Case: Deciding whether to build a $100K time-tracking add-on? Provide your MRR, ARPU, churn, and adoption estimates, and receive a full payback and ROI breakdown with a build recommendation. ## Quick Start Ask the agent to evaluate whether a specific feature is worth building, providing your current MRR, ARPU, churn rate, gross margin, and development cost estimate.

Frequently Asked Questions about feature-investment-advisor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate ROI for a new product feature?▼

Divide the feature's annual gross profit impact by its development cost. For direct monetization, use revenue times gross margin; for retention features, multiply prevented churn by customer lifetime value. The skill walks you through each calculation interactively.

How do I decide whether to build a feature or not?▼

Assess four factors: revenue connection (direct, retention, conversion, or expansion), full cost structure (dev plus COGS and OpEx), ROI and payback period, and strategic value. Features with ROI above 3:1 and payback under customer lifetime are strong build candidates.

When should I not use financial ROI analysis for feature prioritization?▼

Skip this analysis for table-stakes features required for competitive parity, features under one week of work, purely qualitative improvements like brand or UX delight, and features where the underlying problem has not been validated through discovery.

How is feature investment analysis different from RICE prioritization?▼

RICE scores features on reach, impact, confidence, and effort as relative rankings. This framework adds a financial lens by quantifying actual revenue impact, margins, payback period, and ROI in dollars, complementing rather than replacing RICE.

What inputs do I need to evaluate a feature investment?▼

You need current MRR or customer count, ARPU or ARPA, monthly churn rate, gross margin percentage, a development cost estimate, and any ongoing COGS or OpEx implications. Estimates are acceptable if exact figures are unavailable.

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