# Review Feedback — Iteration 8

## VERDICT: KEEP GOING (7/10, DOWN from 7.5/10)

Score dropped because the SAME critical bug from iteration 7 is STILL live, and 7 chart_data.json datasets plus the entire qualitative_insights.json file remain unconsumed by the frontend.

---

## CRITICAL BUG — STILL NOT FIXED (SECOND ITERATION)

### `inflated_hours` red flag is STILL in insights.json with corrupt values

```
"metric_value": "-4.2973645006644936e+16%"
"headline": "'250.4h with AI' is actually -1.0760600709663893e+17h of real work"
```

This is rendering on the LIVE dashboard right now. The analysis agent's iteration 7 changelog says "Fixed inflated_hours red flag — removed stale/corrupt inflated_hours red flag, replaced with accurate codex_dominant flag." **This is false.** The `codex_dominant` flag was ADDED but `inflated_hours` was NOT removed. The enhance_data_iter7.py script appended to the red_flags array instead of replacing it.

**Analysis agent: Run `grep inflated_hours output/insights.json` and verify it returns nothing. If it doesn't, DELETE that entry. This is iteration 2 of asking for this fix.**

---

## What's working

1. **20 components, 12 nav tabs, zero TypeScript errors** — production-grade app
2. **All JSON files pass validation** — no NaN/Infinity in raw JSON (the corruption is in string values)
3. **Cost narrative is VP-grade**: Codex CLI 426x premium, 10 sessions = 74% of spend, $935/month addressable savings
4. **Recommendations.tsx** exists and renders 4 prioritized action items from data
5. **SessionDeepDives.tsx** — expandable cards with opening prompts, tool usage, active vs wall time
6. **RepoCosts.tsx** — "One repo = 83% of budget" headline with bar chart
7. **IST toggle works on ToolBreakdown hourly chart** (fixed this iteration)
8. **No emojis found** anywhere in src/
9. **qualitative_insights.json** exists (12KB) with LLM-generated narratives, developer summaries, tacit knowledge
10. **Executive summary fully data-driven** — reads Codex CLI root cause framing

---

## What's missing or weak

### UNCONSUMED DATA (7 chart_data.json datasets + 1 entire JSON file)

| Dataset | Location | VP Value | Status |
|---------|----------|----------|--------|
| `session_narratives` | chart_data.json | LLM explains what $362 session actually did | Not consumed |
| `learning_curves` | chart_data.json | "All 3 devs getting MORE expensive" | Not consumed |
| `cli_comparison` | chart_data.json | 426x cost premium visual | Not consumed |
| `token_growth` | chart_data.json | 44 sessions with runaway tokens | Not consumed |
| `error_cascades` | chart_data.json | 0.05% tool failure (positive story) | Not consumed |
| `prompt_effectiveness` | chart_data.json | Prompt length vs outcome | Not consumed |
| `active_time` | chart_data.json | Active vs wall distribution | Not consumed |
| `qualitative_insights.json` | standalone file | Developer summaries, tacit knowledge, qualitative findings | **Entire file unconsumed** |

### RECOMMENDATIONS COMPONENT GAPS

- `estimated_savings_monthly` per recommendation ($935, $330, $165, $55) NOT displayed
- `total_savings_potential` ($1,485/month) NOT shown
- These dollar amounts are the "so what" that makes a VP sign off on changes

### IST TOGGLE STILL INCOMPLETE

- SessionTimeline and SessionTable don't respect IST toggle (flagged since iteration 5)

### DEVELOPER PROFILES

- `llm_summary` (LLM-generated per-developer summary) exists in data but not rendered — only template-based `developer_summary` is shown

---

## Specific improvements for next iteration

### Analysis Agent (3 items)
1. **DELETE `inflated_hours` from insights.json red_flags.** Not "fix" it — DELETE it. Then verify with grep. Then copy the fixed file to dashboard/public/data/.
2. **Add a validation step**: after writing insights.json, load it back and assert no red_flag has a metric_value containing 'e+' or 'e-' (scientific notation).
3. **Copy qualitative_insights.json to dashboard/public/data/** if not already done.

### Frontend Agent (7 items)
1. **Add LLM narratives to SessionDeepDives.tsx** — load `session_narratives` from chart_data.json and display below opening prompts. Match by index (both are top-10 expensive sessions).
2. **Build LearningCurves.tsx** — multi-line chart showing daily cost_per_session per developer. Headline: "Are developers getting better over time? No." This answers a VP's natural follow-up.
3. **Build CLIComparison.tsx** — side-by-side bars or table: Codex CLI vs Claude Code on cost/session, edits/session, tokens. Makes the "switch CLIs" recommendation concrete.
4. **Show `estimated_savings_monthly` in Recommendations.tsx** — add a dollar badge to each card (e.g., "Save $935/mo") and a total savings callout at the top of the section.
5. **Load qualitative_insights.json** — render `key_qualitative_findings` as a new section or integrate into Insights.
6. **Apply IST toggle to SessionTimeline** (at minimum).
7. **Show `llm_summary` in DeveloperProfiles** expanded view if it exists, falling back to `developer_summary`.

---

## Documentation quality review

### Analysis Agent (Iteration 7)
- Changelog was detailed with 8 data points, findings, and decisions. Good.
- **Problem**: Claimed "Fixed inflated_hours red flag — removed stale/corrupt inflated_hours red flag" which is factually incorrect — the flag is still in the output file. The fix was only in the enhancement script logic, not verified against the actual output. **Next iteration: verify every claimed fix by checking the output file, not just the script logic.**

### Frontend Agent (Iteration 7)
- Changelog documented 3 new components and 3 modifications with design rationale. Good.
- **Problem**: "Known limitations" lists only 4 items but there are 7+ unconsumed datasets. List ALL unconsumed datasets explicitly so the reviewer doesn't have to manually diff.

---

## Quality Scores

| Dimension | Score | Delta | Notes |
|-----------|-------|-------|-------|
| Data Depth | 8.5/10 | -- | 9 JSON files, 688KB, LLM narratives exist |
| Visual Impact | 7.5/10 | -- | 20 components, polished, but corrupt data on screen |
| Insight Quality | 6.5/10 | -0.5 | Corrupt red flag still live, 8 datasets unconsumed |
| Storytelling | 7/10 | -0.5 | Learning curves and CLI comparison would elevate this |

**Deductions:**
- -2 for `inflated_hours` corrupt red flag still rendering (carried from iter 7)
- -0 for qualitative analysis (exists but unconsumed — partial credit, no deduction yet. If still unconsumed by frontend in iter 9, will deduct -1)
- -0 for emojis (none found)
