#product-strategy

Apply Jobs-to-be-Done framework for product strategy. Structure: 1. Identify the 'job' customers are hiring your product for. 2. Map functional, emotional, and social dimensions. 3. Understand the 'struggling moment' that triggers the job. 4. Analyze competing solutions (including non-consumption). 5. Define success criteria from customer perspective. 6. Uncover unmet needs and innovation opportunities. Conduct switch interviews to understand why customers switched to/from your product. Use insights to guide product development.

Create a detailed competitive feature comparison. Matrix structure: 1. List 5-7 key competitors (rows). 2. Define 15-20 critical features (columns). 3. Score each: ✓ (has), ✗ (missing), ⚠ (partial). 4. Add pricing tier for each feature. 5. Highlight your product's unique features. 6. Identify feature gaps and opportunities. Use color coding for visual clarity. Include market positioning insights. Update quarterly. Use for product strategy and sales enablement.

Systematically analyze competitors to inform product strategy. Analysis dimensions: 1. Core features (what they offer). 2. User experience (ease of use, design quality). 3. Pricing strategy (freemium, subscription, one-time). 4. Target market (enterprise vs. SMB vs. consumer). 5. Distribution channels (direct, partners, app stores). Research methods: 1. Hands-on product testing (sign up, use key features). 2. Review analysis (App Store, G2, TrustPilot). 3. Social listening (Reddit, Twitter mentions). 4. Traffic analysis (SimilarWeb, Ahrefs). 5. Job postings (what they're building). Deliverable: competitive matrix comparing features, pricing, strengths/weaknesses. Update quarterly. Strategic insights: identify white space opportunities, price positioning, feature gaps. Avoid copying directly; focus on customer jobs-to-be-done that competitors miss.

Build data-driven product roadmap using RICE scoring methodology. RICE = Reach × Impact × Confidence ÷ Effort. Reach: number of users affected per quarter (estimate based on analytics). Impact: revenue/engagement boost (3=massive, 2=high, 1=medium, 0.5=low). Confidence: certainty in estimates (100%=high, 80%=medium, 50%=low). Effort: person-months required (development, design, QA, PM time). Example: Feature A - Reach: 2000 users, Impact: 3, Confidence: 80%, Effort: 2 months = (2000×3×0.8)÷2 = 2400. Compare scores across features. Tools: ProductPlan, Aha!, or spreadsheet. Update quarterly with new data. Include technical debt and compliance work. Communicate timeline changes with stakeholders.