Sprint Change Proposal: Keyword Analysis UI Flow and Algorithm Correction
Analysis Summary
Original Issue
The original documentation for keyword analysis did not accurately reflect the required functionality. The issue involved two main aspects:
- The algorithm was incorrectly described as simple frequency analysis rather than pattern recognition based on both recency and frequency
- The UI flow incorrectly specified dynamic button behavior that changes from "Analyze" to "Add Source" after analysis
Impact Analysis
- Epic Impact: Epic 1 documentation needed updates to accurately reflect the frequency pattern analysis requirements
- Story Impact: Story 1.2 documentation required comprehensive revision to accurately describe the algorithm and UI flow requirements
- Artifact Conflict: Previous documentation did not align with the actual requirements for pattern recognition and UI workflow
- MVP Scope Impact: The core functionality remains the same, but both the algorithm requirements and UI workflow are more specific and accurate
Rationale for the Chosen Path Forward
The changes were necessary because the original story and epic documents described an oversimplified version of keyword analysis that would not meet the actual requirements. The correct implementation must:
- Analyze frequency patterns (daily, weekly, monthly, rare) based on both recency and frequency of links from RSS feeds
- Maintain a clear UI workflow with separate analysis and add source sections
- Keep the "Analyze" button state static without changing to "Add Source" after analysis
Specific Proposed Edits
1. Story 1.2: Keyword Frequency Pattern Analysis Implementation
File: docs/prd/stories/story-1.2-keyword-trend-analysis-implementation.md
Before:
- Described simple frequency analysis over time
- Incorrectly specified dynamic button behavior (Analyze → Add Source)
- Did not include requirements for pattern recognition considering both recency and frequency
After:
- Accurately describes analysis of frequency patterns (daily, weekly, monthly, rare) considering both recency and frequency
- Specifies separate UI sections: analysis section appears before add source section
- Removes dynamic button behavior - button stays as "Analyze" after analysis
- Added specific algorithm requirements for each pattern type:
- Daily: Many links per day consistently with recent activity
- Weekly: Links accumulate to about 3-7 per week
- Monthly: Less frequent than weekly
- Rare: Very scarce with long intervals between them
- Updated technical implementation guidance to reflect static button behavior
- Updated acceptance criteria to include UI flow requirements:
- Criteria #10: UI has separate sections with analysis before add source
- Criteria #11-13: Button behavior remains static after analysis
- Updated integration verification to check proper section ordering
- Updated testing guidance to include UI flow between sections
2. Epic 1: UI/UX Improvements and Keyword Analysis Enhancement
File: docs/prd/epic-1-uiux-improvements-and-keyword-analysis-enhancement.md
Before:
- Story 1.2 section described simple frequency analysis
- Did not include requirements for pattern recognition and static button behavior
After:
- Updated Story 1.2 section to match the corrected story
- Accurately describes analysis of frequency patterns considering both recency and frequency
- Includes new acceptance criteria for UI flow requirements (#10-13)
- Updates integration verification to include check for analysis section appearing before add source section (IV4)
Next Steps
The changes have been successfully implemented. The documentation now accurately reflects the requirements for:
- Keyword analysis that determines frequency patterns (daily, weekly, monthly, rare) based on both recency and frequency of links from RSS feeds
- UI flow with separate analysis and add source sections
- Static "Analyze" button behavior that doesn't change after analysis
The development team can now proceed with implementing the feature based on these corrected specifications. The "Correct Course Task" is complete regarding analysis and change proposal. These documents provide the necessary context for implementing the proper keyword frequency pattern analysis algorithm with the correct UI workflow.