Project Schedule

Weekly Meetings

Our team meets weekly with the sponsor to discuss project progress, coordinate important milestones, and align on upcoming iterations. These meetings ensure all team members are synchronized and can address any blockers or challenges. These meetings will be where the sponsor provides target points and feedback.

Meeting Frequency: Weekly

Purpose: Addressing target points, getting feedback, and ensuring alignment with sponsor expectations

Iteration Schedule

We conduct 3-6 UX experiments per week to gather user feedback and validate design decisions. Each iteration builds upon the findings from previous experiments, guiding our sponsors development process.

Iteration 1

Duration: Week 6-7

Experiments: 2-3 UX tests

Focus: Initial user onboarding interface and core workflow validation

Deliverable: Report on findings, user feedback, and recommended improvements

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Iteration 2

Duration: Week 7-8

Experiments: 3-6 UX tests

Focus: Refined onboarding interface based on Iteration 1 feedback

Deliverable: Report on user preferences and suggested UI/UX changes

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Iteration 3

Duration: Week 9-10

Experiments: 3-6 UX tests

Focus: Gift receiving templates with user customization options

Deliverable: Report on user preferences and suggested context additions

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Iteration 4

Duration: Week 11-12

Experiments: 3-6 UX tests

Focus: Edge case refinement

Deliverable: Report on edge case additions and user feedback.

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Iteration 5

Duration: Week 13-14

Experiments: 3-6 UX tests

Focus: Final iteration for any remaining issues or improvements

Deliverable: Final report on all findings and recommendations for future development.

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Deliverable Format

Each iteration concludes with a comprehensive report that includes:

  • Experiment Summaries: Overview of UX tests conducted
  • Key Findings: What we learned from user interactions
  • User Feedback: Direct quotes and observations from participants
  • Identified Issues: Problems and pain points discovered
  • Recommendations: Suggested improvements and changes
  • Next Steps: How findings will inform the next iteration