Analysis/_bmad-output/planning-artifacts/implementation-readiness-report-2026-01-10.md

# Implementation Readiness Assessment Report

**Date:** 2026-01-10
**Project:** Data_analysis

## PRD Analysis

### Functional Requirements

FR1: Users can upload datasets in .xlsx, .xls, and .csv formats via drag-and-drop or file selection.
FR2: System automatically detects column data types (numeric, categorical, datetime) upon ingest.
FR3: Users can manually override detected data types if the inference is incorrect.
FR4: Users can rename columns directly in the interface to sanitize inputs.
FR5: Users can view loaded data in a paginated, virtualized grid capable of displaying 50,000+ rows.
FR6: Users can edit cell values directly (double-click to edit) with inputs validated against the column type.
FR7: Users can sort columns (asc/desc) and filter rows based on values/conditions (e.g., "> 100").
FR8: Users can perform Undo/Redo operations (Ctrl+Z/Ctrl+Y) on data edits within the current session.
FR9: Users can exclude specific rows from analysis without deleting them (soft delete/toggle).
FR10: System automatically identifies univariate outliers using IQR/Z-score and visualizes them in the grid/plots.
FR11: System automatically identifies multivariate outliers using Isolation Forest upon user request.
FR12: Users can accept or reject outlier exclusion proposals individually or in bulk.
FR13: Users can select a Target Variable (Y) to trigger an automated Feature Importance analysis.
FR14: System recommends the Top-N predictive features based on RFE (Recursive Feature Elimination) or Random Forest importance.
FR15: Users can configure a Linear Regression (Simple/Multiple) by selecting Dependent (Y) and Independent (X) variables.
FR16: Users can configure a Binary Logistic Regression for categorical target variables.
FR17: System generates a "Model Summary" including R-squared, Adjusted R-squared, F-statistic, and P-values for coefficients.
FR18: System generates standard diagnostic plots: Residuals vs Fitted, Q-Q Plot, and Scale-Location.
FR19: Users can view a Correlation Matrix (Heatmap) for selected numeric variables.
FR20: Users can view an interactive "Analysis Report" dashboard summarizing data health, methodology, and model results.
FR21: Users can export the full report as a branded PDF document.
FR22: System appends an "Audit Trail" to the report listing library versions, random seeds, and data exclusion steps for reproducibility.

Total FRs: 22

### Non-Functional Requirements

NFR1: Grid Latency: render 50,000 rows with filtering/sorting response times under 200ms.
NFR2: Analysis Throughput: Automated analysis on standard datasets (<10MB) must complete in under 15 seconds.
NFR3: Upload Speed: Parsing and validation of a 5MB Excel file should complete in under 3 seconds.
NFR4: Data Ephemerality: All user datasets purged after 1 hour of inactivity or session termination.
NFR5: Transport Security: Data transmission must be encrypted via TLS 1.3.
NFR6: Input Sanitization: File parser must validate MIME types and signatures to prevent macro execution.
NFR7: Graceful Degradation: Handle NaNs/infinite values with clear error messages instead of crashing.
NFR8: Concurrency: Support at least 50 concurrent analysis requests using an asynchronous task queue.
NFR9: Keyboard Navigation: Data grid must be fully navigable via keyboard.

Total NFRs: 9

### Additional Requirements

- **Stateless Architecture:** Phase 1 requires no persistent user data storage.
- **Scientific Rigor:** Reproducibility of results is paramount (Trace d'Analyse).
- **Desktop Only:** Strictly optimized for high-resolution desktop displays.

### PRD Completeness Assessment

The PRD is exceptionally comprehensive, providing numbered, testable requirements (FR1-FR22) and specific, measurable quality attributes (NFR1-NFR9). The "Experience MVP" strategy is clearly defined, and the project context (Scientific Greenfield) is well-articulated. No major gaps were identified during extraction.

## Epic Coverage Validation

### FR Coverage Analysis

| FR Number | PRD Requirement | Epic Coverage | Status |
| :--- | :--- | :--- | :--- |
| FR1 | Upload datasets (.xlsx, .xls, .csv) | Epic 1 Story 1.2 | ✓ Covered |
| FR2 | Auto-detect column data types | Epic 1 Story 1.2 | ✓ Covered |
| FR3 | Manual type override | Epic 1 Story 1.4 | ✓ Covered |
| FR4 | Rename columns | Epic 1 Story 1.4 | ✓ Covered |
| FR5 | High-performance grid (50k+ rows) | Epic 1 Story 1.3 | ✓ Covered |
| FR6 | Edit cell values directly | Epic 2 Story 2.1 | ✓ Covered |
| FR7 | Sort and filter rows | Epic 1 Story 1.5 | ✓ Covered |
| FR8 | Undo/Redo operations | Epic 2 Story 2.2 | ✓ Covered |
| FR9 | Exclude rows (soft delete) | Epic 2 Story 2.5 | ✓ Covered |
| FR10 | Univariate outlier detection (IQR) | Epic 2 Story 2.3 | ✓ Covered |
| FR11 | Multivariate outlier detection (Isolation Forest) | Epic 2 Story 2.3 | ✓ Covered |
| FR12 | Outlier review UI (Insight Panel) | Epic 2 Story 2.4 | ✓ Covered |
| FR13 | Feature Importance analysis | Epic 3 Story 3.2 | ✓ Covered |
| FR14 | Top-N predictive feature recommendations | Epic 3 Story 3.3 | ✓ Covered |
| FR15 | Linear Regression configuration | Epic 4 Story 4.1 | ✓ Covered |
| FR16 | Logistic Regression configuration | Epic 4 Story 4.1 | ✓ Covered |
| FR17 | Model Summary (R², P-values, etc.) | Epic 4 Story 4.2 | ✓ Covered |
| FR18 | Diagnostic plots | Epic 4 Story 4.3 | ✓ Covered |
| FR19 | Correlation Matrix (Heatmap) | Epic 3 Story 3.1 | ✓ Covered |
| FR20 | Analysis Report dashboard | Epic 4 Story 4.3 | ✓ Covered |
| FR21 | Export branded PDF | Epic 4 Story 4.4 | ✓ Covered |
| FR22 | Reproducibility Audit Trail | Epic 4 Story 4.4 | ✓ Covered |

### Missing Requirements

None. All 22 Functional Requirements from the PRD are mapped to specific stories in the epics document.

### Coverage Statistics

- Total PRD FRs: 22
- FRs covered in epics: 22
- Coverage percentage: 100%

## UX Alignment Assessment

### UX Document Status
*   **Found:** `_bmad-output/planning-artifacts/ux-design-specification.md`

### Alignment Analysis

**UX ↔ PRD Alignment:**
*   ✅ **User Journeys:** Optimized for identified personas (Julien & Marc).
*   ✅ **Feature Coverage:** 100% of FRs have defined interaction patterns.
*   ✅ **Workflow:** Assisted analysis loop matches the PRD vision.

**UX ↔ Architecture Alignment:**
*   ✅ **Performance:** High-density grid requirements supported by Apache Arrow stack.
*   ✅ **State Management:** Zustand choice supports high-frequency UI updates.
*   ✅ **Responsive Strategy:** Consistent "Desktop Only" approach across all plans.

### Warnings
*   None.

## Epic Quality Review

### Epic Structure Validation
*   ✅ **Epic 1: Ingestion** - Focused on user value.
*   ✅ **Epic 2: Hygiene** - Standalone value, no forward dependencies.
*   ✅ **Epic 3: Smart Prep** - Incremental enhancement.
*   ✅ **Epic 4: Modélisation** - Final completion of journey.

### Story Quality & Sizing
*   ✅ **Story 1.1:** Correctly initializes project from Architecture boilerplate.
*   ✅ **Acceptance Criteria:** All stories follow Given/When/Then format.
*   ✅ **Story Sizing:** Optimized for single agent dev sessions.

### Dependency Analysis
*   ✅ **No Forward Dependencies:** No story depends on work from a future epic.
*   ✅ **Database Timing:** Stateless logic introduced exactly when required.

### Quality Assessment Documentation
*   🔴 **Critical Violations:** None.
*   🟠 **Major Issues:** None.
*   🟡 **Minor Concerns:** None.

## Summary and Recommendations

### Overall Readiness Status
**READY** ✅

### Critical Issues Requiring Immediate Action
*   **None.**

### Recommended Next Steps
1.  **Initialize Project:** Run `docker-compose up` to verify the monorepo skeleton (Epic 1 Story 1.1).
2.  **Performance Spike:** Validate Apache Arrow streaming with a 50k row dataset early in development.
3.  **UI Setup:** Configure the Shadcn UI ThemeProvider for native Dark Mode support from the start.

### Final Note
This assessment identifies 0 issues. The project planning is complete, coherent, and highly robust. You may proceed immediately to implementation.