Data Analysis Insights

Uncovering the behavioral patterns and emotional drivers behind cooking habits through quantitative and qualitative research.

Explore Findings ↓

CI Models

flowchart TD A[User Opens SageBook] --> B{Motivation?} B -->|"I need dinner NOW"| C[Quick Meal Generator] B -->|"Want to learn properly"| D[Skill Library] B -->|"Meal prep for week"| E[Batch Cooking Planner] C --> F[3-Ingredient Recipes\nVoice-Guided Rush Mode] D --> G[Technique Tutorials\nProgress Tracking] E --> H[Groceries-to-Meals Calculator\nStorage Tips] F & G & H --> I{Struggle Point?} I -->|Confused| J[Community Hacks\nAI Assistant Demo] I -->|Confident| K[Save to Cookbook\nShare Tweaks] J & K --> L[Rate Experience\nEarn Time-Saver Badges]
Key Insight
The model reveals three distinct entry points based on emotional state: urgency (quick meals), curiosity (skill-building), and efficiency (meal prep). Time-pressed users often abandon apps when they can't immediately find "no-brainer" options.
💡 Design Opportunity: Create a "Rush Mode" that hides advanced features during high-stress cooking.
New Findings
Interviews with parents and busy professionals exposed time poverty as the dominant barrier:
  • 45% prioritize speed over nutrition
  • Cleanup avoidance leads to single-pot recipes
  • Ingredient waste anxiety higher among budget-conscious users

Persona Deep Dive

Patterns Across Personas

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Communication Style

Tone Matters
Annie needs reassurance, Carlos craves expertise, and Tom wants directness. The app adapts its voice based on user behavior patterns.
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Flexibility

Adaptable Guidance
All personas benefit from adjustable recipe complexity, from Annie's step-by-step to Carlos' experimental mode.
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Motivation

Different Drivers
Annie responds to encouragement, Carlos to knowledge sharing, and Tom to time savings. The reward system must be multifaceted.

Key Takeaways

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Emotional First

Cooking is deeply tied to self-worth. Design must address emotional barriers before teaching skills.

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Modular Learning

Break down cooking into atomic skills that can be mixed and matched based on user confidence levels.

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Progressive Disclosure

Surface advanced options only when users demonstrate readiness, preventing overwhelm for beginners.