feature-investment-advisor skill
Evaluate feature investments using revenue impact, cost structure, ROI, and strategy. Use when deciding whether a feature deserves investment.
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Install the feature-investment-advisor skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git /tmp/Product-Manager-Skills mkdir -p ~/.claude/skills cp -r /tmp/Product-Manager-Skills/skills/feature-investment-advisor ~/.claude/skills/feature-investment-advisor
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Purpose
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.
Input
Works best with: The feature you're deciding on, in a sentence or two. Also useful: Revenue connection (direct or indirect), rough cost inputs (dev time, COGS, ongoing OpEx), and the strategic argument being made for it.
Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.
Arriving empty-handed? That works too. The advisor opens by asking what the feature is and how it's supposed to make or save money.
Example invocation: Should we build SSO/SAML? Enterprise deals keep stalling on it; est. 2 engineer-months plus ongoing support burden.
Key Concepts
The Feature Investment Framework
A systematic approach to evaluate features financially:
- Revenue Connection — How does this feature impact revenue?
- Direct monetization (new tier, add-on, usage charges)
- Indirect monetization (retention, conversion, expansion enablement)
- Cost Structure — What does it cost to build and run?
- Development cost (one-time investment)
- COGS impact (ongoing infrastructure, processing)
- OpEx impact (ongoing support, maintenance)
- ROI Calculation — Is the return worth the investment?
- Direct monetization: Revenue impact / Development cost
- Retention features: LTV impact across customer base / Development cost
- Factor in gross margin, not just revenue
- Strategic Value — Non-financial value that might override pure ROI
- Competitive moat (prevents churn to competitor)
- Platform enabler (unlocks future features)
- Market positioning (needed for enterprise deals)
- Risk reduction (compliance, security)
Anti-Patterns (What This Is NOT)
- Not feature scoring alone: Combines financial analysis with strategic judgment
- Not revenue-only thinking: Considers margins, costs, and ROI, not just top-line revenue
- Not ignoring retention: Indirect revenue impact (churn reduction) is equally valid
- Not building without validation: Assumes you've done discovery; this is the financial lens
When to Use This Framework
Use this when:
- Prioritizing between features with quantifiable revenue/retention impact
- Evaluating expensive features (>1 engineer-month of work)
- Making build/buy/partner decisions
- Defending feature prioritization to stakeholders or leadership
- Choosing between direct monetization (add-on) vs. indirect (retention)
Don't use this when:
- Feature is table stakes (must-have for competitive parity)
- Impact is purely qualitative (brand, UX delight without measurable retention effect)
- You haven't validated the problem (do discovery first)
- Feature is < 1 week of work (just build it)
Facilitation Source of Truth
Use workshop-facilitation as the default interaction protocol for this skill.
It defines:
- session heads-up + entry mode (Guided, Context dump, Best guess)
- one-question turns with plain-language prompts
- progress labels (for example, Context Qx/8 and Scoring Qx/5)
- interruption handling and pause/resume behavior
- numbered recommendations at decision points
- quick-select numbered response options for regular questions (include Other (specify) when useful)
This file defines the domain-specific assessment content. If there is a conflict, follow this file's domain logic.
Application
This interactive skill asks up to 4 adaptive questions, offering 3-5 enumerated options at decision points.
Step 0: Gather Context
Agent asks:
"Let's evaluate the financial impact of this feature investment. Please provide:
Feature description:
- What's the feature? (1-2 sentences)
- Target customer segment (SMB, mid-market, enterprise, all)
Current business context:
- Current MRR/ARR (or customer count if pre-revenue)
- Current ARPU/ARPA
- Current monthly churn rate
- Gross margin %
Constraints:
- Development cost estimate (team size × time)
- Any ongoing COGS or OpEx implications?
You can provide estimates if you don't have exact numbers."
Step 1: Identify Revenue Connection
Agent asks:
"How does this feature impact revenue? Choose the option that best describes the revenue connection:
- Direct monetization (new revenue stream) — We'll charge for this (new pricing tier, paid add-on, usage-based fee)
- Retention improvement (reduce churn) — Addresses key churn reason; keeps customers from leaving
- Conversion improvement (trial-to-paid) — Helps convert free/trial users to paid customers
- Expansion enabler (upsell/cross-sell) — Creates upsell path or drives usage-based expansion
- No direct revenue impact — Table stakes, platform improvement, or strategic value only
Choose a number, or describe a custom revenue connection."
Based on selection, agent adapts:
If 1 (Direct monetization):
- "What pricing are you considering?"
- "What % of customers do you expect to adopt this?" (conservative, base, optimistic)
- Calculate: Potential Monthly Revenue = Customer Base × Adoption Rate × Price
If 2 (Retention improvement):
- "What % of churn does this feature address?" (e.g., "30% of churned customers cited this gap")
- "What churn reduction do you expect?" (e.g., "5% → 4% monthly churn")
- Calculate: LTV Impact = Increase in Customer Lifetime × Customer Base × ARPU × Margin
If 3 (Conversion improvement):
- "Current trial-to-paid conversion rate?"
- "Expected conversion lift?" (e.g., "20% → 25% conversion")
- Calculate: Additional MRR = Trial Users × Conversion Lift × ARPU
If 4 (Expansion enabler):
- "What expansion opportunity does this create?" (upsell tier, usage growth, add-on)
- "What % of customers will expand?"
- Calculate: Expansion MRR = Customer Base × Expansion Rate × ARPU Increase
If 5 (No direct revenue impact):
- Skip to strategic value assessment
Step 2: Assess Cost Structure
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