/feature-investment-advisor
Evaluate feature investments using revenue impact, cost structure, ROI, and strategy. Use when deciding whether a feature deserves investment.
$ npx -y skills add getcrew44/crew44 --skill feature-investment-advisor --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/feature-investment-advisor
Context preview
The summary Claude sees to decide when to auto-load this skill.
Evaluate feature investments using revenue impact, cost structure, ROI, and strategy. Use when deciding whether a feature deserves investment.
SKILL.md
feature-investment-advisor.SKILL.mdname: feature-investment-advisor
description: Evaluate feature investments using revenue impact, cost structure, ROI, and strategy. Use when deciding whether a feature deserves investment.
intent: >-
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.
type: interactive
best_for:
- "Assessing whether a feature should be built now"
- "Comparing ROI and strategic value of feature ideas"
- "Pressure-testing roadmap requests with financial logic"
scenarios:
- "Should we build SSO for mid-market customers this quarter?"
- "Evaluate whether an AI assistant feature is worth the investment"
- "Help me decide if this roadmap request has enough ROI to build"
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.
Key Concepts
The Feature Investment Framework
A systematic approach to evaluate features financially:
1. **Revenue Connection** — How does this feature impact revenue?
- Direct monetization (new tier, add-on, usage charges)
- Indirect monetization (retention, conversion, expansion enablement)
2. **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)
3. **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
4. **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`](../workshop-facilitation/SKILL.md) 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:
1. **Direct monetization (new revenue stream)** — We'll charge for this (new pricing tier, paid add-on, usage-based fee) 2. **Retention improvement (reduce churn)** — Addresses key churn reason; keeps customers from leaving 3. **Conversion improvement (trial-to-paid)** — Helps convert free/trial users to paid customers 4. **Expansion enabler (upsell/cross-sell)** — Creates upsell path or drives usage-based expansion 5. **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:
Read more
name: feature-investment-advisor description: Evaluate feature investments using revenue impact, cost structure, ROI, and strategy. Use when deciding whether a feature deserves investment. intent: >- 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. type: interactive best_for: - "Assessing whether a feature should be built now" - "Comparing ROI and strategic value of feature ideas" - "Pressure-testing roadmap requests with financial logic" scenarios: - "Should we build SSO for mid-market customers this quarter?" - "Evaluate whether an AI assistant feature is worth the investment" - "Help me decide if this roadmap request has enough ROI to build"
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.
Key Concepts
The Feature Investment Framework
A systematic approach to evaluate features financially:
1. **Revenue Connection** — How does this feature impact revenue?
- Direct monetization (new tier, add-on, usage charges)
- Indirect monetization (retention, conversion, expansion enablement)
2. **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)
3. **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
4. **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`](../workshop-facilitation/SKILL.md) 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:
1. **Direct monetization (new revenue stream)** — We'll charge for this (new pricing tier, paid add-on, usage-based fee) 2. **Retention improvement (reduce churn)** — Addresses key churn reason; keeps customers from leaving 3. **Conversion improvement (trial-to-paid)** — Helps convert free/trial users to paid customers 4. **Expansion enabler (upsell/cross-sell)** — Creates upsell path or drives usage-based expansion 5. **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:
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Repo: getcrew44/crew44
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