Analyze Feature Requests
Analyze and prioritize a list of feature requests by theme, strategic alignment, impact, effort, and risk. Use when reviewing customer feature requests, triaging a backlog, or making prioritization decisions.
MCP get_skill({ skillId: "analyze-feature-requests-2b565a11" })Use this skill with your agent
Create a free account and connect via MCP
## Analyze Feature Requests Categorize, evaluate, and prioritize customer feature requests against product goals. ### Context You are analyzing feature requests for **$ARGUMENTS**. If the user provides files (spreadsheets, CSVs, or documents with feature requests), read and analyze them directly. If data is in a structured format, consider creating a summary table. ### Domain Context Never allow customers to design solutions. Prioritize **opportunities (problems)**, not features. Use **Opportunity Score** (Dan Olsen) to evaluate customer-reported problems: Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1. See the `prioritization-frameworks` skill for full details and templates. ### Instructions The user will describe their product goal and provide feature requests. Work through these steps: 1. **Understand the goal**: Confirm the product objective and desired outcomes that will guide prioritization. 2. **Categorize requests into themes**: Group related requests together and name each theme. 3. **Assess strategic alignment**: For each theme, evaluate how well it aligns with the stated goals. 4. **Prioritize the top 3 features** based on: - **Impact**: Customer value and number of users affected - **Effort**: Development and design resources required - **Risk**: Technical and market uncertainty - **Strategic alignment**: Fit with product vision and goals 5. **For each top feature**, provide: - Rationale (customer needs, strategic alignment) - Alternative solutions worth considering - High-risk assumptions - How to test those assumptions with minimal effort Think step by step. Save as markdown or create a structured output document. --- ### Further Reading - [Kano Model: How to Delight Your Customers Without Becoming a Feature Factory](https://www.productcompass.pm/p/kano-model-how-to-delight-your-customers) - [Continuous Product Discovery Masterclass (CPDM)](https://www.productcompass.pm/p/cpdm) (video course)
Related Skills
More skills in Business, Marketing & Sales
Ab Testing
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.
Ab Test Setup
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
Ab Test Setup
Ab Test Setup linked from Corey Haines marketing skills, with the upstream skill instructions available on GitHub.
Ab Test Store Listing
When the user wants to A/B test App Store product page elements to improve conversion rate. Also use when the user mentions "A/B test", "product page optimization", "test my screenshots", "test my icon", "conversion rate optimization", "CPP", or "custom product pages". For screenshot design, see screenshot-optimization. For metadata optimization, see metadata-optimization.
Account Research
Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".
Account Research
Research a company using Common Room data. Triggers on 'research [company]', 'tell me about [domain]', 'pull up signals for [account]', 'what's going on with [company]', or any account-level question.
Explore Other Categories
Skills from other categories with shared topics
Ab Test Analysis
Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
Cohort Analysis
Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.
Create Prd
Create a Product Requirements Document using a comprehensive 8-section template covering problem, objectives, segments, value propositions, solution, and release planning. Use when writing a PRD, documenting product requirements, preparing a feature spec, or reviewing an existing PRD.