π οΈ Decision-Making Frameworks for Product Managers
Effective decision-making requires structure. Frameworks bring clarity and consistency to complex choices. Letβs explore three game-changing approaches.
A/B Testing
Compare two product versions to see which performs better.
Example:
Hypothesis: Changing a CTA button from blue to green will increase clicks. π΅β‘οΈπ’
Execution: Randomly assign users to Version A (blue) or Version B (green).
Outcome: The green button gets 25% more clicks.
The RICE Scoring Model
Prioritize features based on:
Reach: How many users will benefit? π
Impact: How significant is the benefit? π₯
Confidence: How sure are you? π§
Effort: How much work is needed? π οΈ
Example:
A SaaS team prioritized a dashboard feature (RICE: 4,800) over a minor bug fix (RICE: 3,000).
Kano Model
Classify features into:
Basic Needs: Must-haves (e.g., app stability). π‘οΈ
Performance Needs: Features with proportional satisfaction (e.g., faster load times). β‘
Excitement Needs: Delightful extras (e.g., personalized dashboards). π
π Example: A car rental app allowed users to select specific car models, boosting bookings by 25%. π
Whatβs Next?
Frameworks ensure data-driven decisions are actionable. Which one will you try? π