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Pre-Release Feedback Mechanism Design

Status: Active
Version: 1.0.0
Last Updated: 2025-12-18
Related: E6:S06:T03

Overview​

The pre-release feedback mechanism enables systematic collection, analysis, and integration of user feedback during the pre-release phase of framework distribution. This mechanism captures installation experience, post-installation state, framework usability, and issues encountered to inform framework improvements and support decisions.

Feedback Categories​

1. Installation Experience​

Purpose: Capture user experience during framework installation

Metrics:

  • Installation ease (1-5 scale)
  • Installation time
  • Clarity of instructions
  • Issues encountered
  • Error messages received

Questions:

  • How easy was the installation process?
  • Were the installation instructions clear?
  • Did you encounter any errors during installation?
  • How long did installation take?
  • What was your overall installation experience?

2. Post-Installation State​

Purpose: Understand what the project looks like after installation

Metrics:

  • Project structure created
  • Files generated
  • Configuration completed
  • Initial state validation

Questions:

  • What files/directories were created?
  • Was the project structure as expected?
  • Were all expected files present?
  • Was initial configuration successful?
  • Did the project state match documentation?

3. Framework Usability​

Purpose: Assess how easy the framework is to use

Metrics:

  • Ease of use (1-5 scale)
  • Documentation clarity
  • Workflow understanding
  • Tool usability
  • Learning curve

Questions:

  • How easy is the framework to use?
  • Is the documentation clear and helpful?
  • Do you understand the workflows?
  • Are the tools intuitive?
  • What is your learning curve experience?

4. Issues Encountered​

Purpose: Identify bugs, problems, and blockers

Metrics:

  • Bug reports
  • Error messages
  • Unexpected behavior
  • Missing features
  • Documentation gaps

Questions:

  • What bugs did you encounter?
  • What errors did you see?
  • What unexpected behavior occurred?
  • What features are missing?
  • What documentation gaps exist?

Feedback Collection Mechanism​

Collection Points​

1. Post-Installation Prompt

  • Automatic prompt after successful installation
  • CLI command: adk feedback
  • Optional: GitHub issue template

2. Periodic Check-ins

  • Weekly/monthly check-ins for active users
  • Email surveys (optional)
  • In-app prompts (if applicable)

3. Issue Reporting

  • GitHub issues (public)
  • Internal tracking (private)
  • Direct contact (for critical issues)

Collection Format​

Structured Feedback:

  • JSON format for programmatic processing
  • Markdown template for human-readable feedback
  • Form-based collection for ease of use

Feedback Template:

## Installation Experience
- Ease: [1-5]
- Time: [minutes]
- Issues: [description]
- Errors: [error messages]

## Post-Installation State
- Files Created: [list]
- Structure: [description]
- Configuration: [status]

## Framework Usability
- Ease of Use: [1-5]
- Documentation: [rating]
- Workflows: [understanding level]
- Tools: [usability rating]

## Issues Encountered
- Bugs: [list]
- Errors: [list]
- Unexpected Behavior: [description]
- Missing Features: [list]
- Documentation Gaps: [list]

Feedback Storage​

Storage Options​

1. GitHub Issues (Public)

  • Public feedback repository
  • Issue templates for structured feedback
  • Labels for categorization
  • Milestones for tracking

2. Internal Tracking (Private)

  • Internal database/spreadsheet
  • Structured JSON storage
  • Searchable and analyzable
  • Privacy-preserving

3. Hybrid Approach

  • Public issues for general feedback
  • Private tracking for sensitive feedback
  • Aggregated analytics

Storage Structure​

Feedback Record:

{
  "id": "unique-feedback-id",
  "timestamp": "ISO-8601",
  "version": "framework-version",
  "category": "installation|post-install|usability|issues",
  "priority": "critical|high|medium|low",
  "data": {
    "installation": {...},
    "post_install": {...},
    "usability": {...},
    "issues": {...}
  },
  "metadata": {
    "user_id": "optional",
    "project_type": "optional",
    "environment": "optional"
  }
}

Feedback Analysis Process​

Analysis Workflow​

1. Collection

  • Gather feedback from all sources
  • Normalize format
  • Categorize by type

2. Analysis

  • Identify patterns and trends
  • Prioritize issues
  • Extract actionable insights
  • Calculate metrics

3. Integration

  • Convert to Feature Requests (FR)
  • Convert to Bug Reports (BR)
  • Update Kanban board
  • Track improvements

4. Reporting

  • Generate analysis reports
  • Share insights with team
  • Communicate improvements
  • Track feedback resolution

Analysis Metrics​

Installation Metrics:

  • Average installation ease score
  • Average installation time
  • Error rate
  • Success rate

Usability Metrics:

  • Average ease of use score
  • Documentation clarity rating
  • Workflow understanding rate
  • Tool usability rating

Issue Metrics:

  • Total bugs reported
  • Critical issues count
  • Feature requests count
  • Documentation gaps count

Integration with Kanban​

FR/BR Intake Workflow​

Feedback → Feature Request:

  • Usability improvements → FR
  • Missing features → FR
  • Documentation gaps → FR
  • Enhancement requests → FR

Feedback → Bug Report:

  • Bugs encountered → BR
  • Errors → BR
  • Unexpected behavior → BR
  • Installation issues → BR

Kanban Board Integration​

Feedback Tracking:

  • Create tasks from feedback
  • Link feedback to tasks
  • Track feedback resolution
  • Update Kanban with feedback insights

Priority Assignment:

  • Critical feedback → High priority
  • High-impact feedback → Medium priority
  • General feedback → Low priority

Feedback Template​

See packages/frameworks/kanban/templates/feedback-template.md for the complete feedback template.

User-Facing Guide​

See docs/guides/framework-consumption/adk-feedback-guide.md for the user-facing feedback guide.

Implementation Plan​

Phase 1: Design (E6:S06:T03)​

  • ✅ Feedback mechanism design (this document)
  • ✅ Feedback categories defined
  • ✅ Collection mechanism designed
  • ✅ Storage design completed
  • ✅ Analysis process designed
  • ✅ Integration designed

Phase 2: Templates and Guides (E6:S06:T03)​

  • Create feedback template
  • Create user-facing guide
  • Create analysis templates

Phase 3: Implementation (E6:S06:T05)​

  • Implement collection mechanism
  • Implement storage system
  • Implement analysis tools
  • Implement integration

Phase 4: Testing and Refinement​

  • Test feedback collection
  • Validate analysis process
  • Refine based on initial feedback
  • Document lessons learned

References​

  • Epic 6: docs/project-management/kanban/epics/Epic-6/Epic-6.md
  • Story 6: docs/project-management/kanban/epics/Epic-6/Story-006-adk-implementation-analysis-and-package-management.md
  • Task 3: docs/project-management/kanban/epics/Epic-6/Story-006-adk-implementation-analysis-and-package-management/T03-design-pre-release-feedback-mechanism.md
  • Task 5: docs/project-management/kanban/epics/Epic-6/Story-006-adk-implementation-analysis-and-package-management/T05-implement-feedback-mechanism.md

Decision Record​

Decision: Implement comprehensive pre-release feedback mechanism with structured collection, analysis, and Kanban integration.

Rationale:

  • Enables systematic feedback collection
  • Provides actionable insights for improvements
  • Supports data-driven decision making
  • Integrates with existing workflows
  • Captures user experience comprehensively

Consequences:

  • Requires feedback collection infrastructure
  • Needs analysis tools and processes
  • Requires integration with Kanban
  • Provides valuable user insights