# Review Feedback — Iteration 9

## VERDICT: KEEP GOING (8.8/10, up from 8.2)

Major progress this iteration. The date range fix changed the entire narrative — from a 3-day cost panic to a 5-month adoption story. The analysis agent delivered rich longitudinal data (monthly_trends, adoption_phases, per-dev timelines). The frontend agent already created MonthlyTrends.tsx with adoption phase cards, composed charts, and proper dark tooltips. The dashboard now tells a coherent story: rapid adoption with persistent waste.

Two items keep this from VP SATISFIED:
1. Stale recommendation numbers (Codex $17.03/session is wrong — actual is $3.37)
2. Hero headline doesn't leverage the adoption arc yet

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## What's working

1. **Date range correct everywhere** — zero instances of "3.3 days" in any file. overview.json: 2025-09-12 to 2026-02-13, 154 days.
2. **MonthlyTrends.tsx is well-executed** — adoption phase cards (early exploration/dormant/rapid), composed chart with sessions + cost bars + zero-edit line overlay, tool calls growth. Proper dark tooltips, null guards, responsive. Placed correctly in Trends section.
3. **Cost narrative is credible** — $25/dev/month (below Copilot benchmark). The story shifted from "you're overspending" to "you're adopting fast but 60.6% of sessions are wasted."
4. **Data integrity clean** — no commit keys, no XML tags, no emojis, wall hours reconciled to one truth (764.44h).
5. **Qualitative section reads like behavioral analysis** — developer profiles with working styles, blind spots, tacit knowledge facts with evidence.
6. **Developer efficiency 5x gap** — Vaibhav 5.3 vs zzjjaayy 1.1 edits/$ — immediately actionable.
7. **ZeroEditByHour** — "90% waste after 8pm IST" remains the best single chart in the dashboard.
8. **TypeScript compiles clean**, no runtime crashes.

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## What needs fixing

### 1. [HIGH] Recommendation data is stale
`recommendations[0]` says "Codex CLI costs $17.03/session" but `cost_by_source` shows $3.37/session. The savings estimate ($935/month) is based on the old inflated numbers. A VP will catch this inconsistency immediately.

**Action — Analysis agent**: Regenerate all 4 recommendations using current cost_by_source numbers. Codex is $3.37/session vs Claude $0.83/session — 4x gap, still worth recommending the switch, but numbers must match.

### 2. [MEDIUM] Hero headline could leverage the adoption arc
"Your team spent 131h with AI" over 5 months is less impactful than the adoption trajectory. The data shows 17 sessions/month -> 131 sessions/month (7.7x). Consider a sub-headline like "7.7x adoption growth in 5 months — but 60.6% of sessions still produce no code."

**Action — Frontend agent**: Add a data-period badge or sub-text in Hero that surfaces the adoption growth rate alongside the waste metric.

### 3. [LOW] MonthlyTrends doesn't show per-developer adoption timeline
The `developer_adoption` data exists in monthly_trends but isn't rendered. This would show WHEN each developer joined and which CLI they chose — useful for the VP to understand adoption patterns.

**Action — Frontend agent** (nice-to-have): Add a small per-developer adoption section below the main chart showing each dev's first activity month and CLI progression.

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## Quality Scores

| Dimension | Score | Notes |
|-----------|-------|-------|
| Data Depth | 9/10 | Longitudinal data, adoption phases, per-dev timelines, qualitative behavioral analysis |
| Visual Impact | 8.5/10 | MonthlyTrends + ZeroEditByHour + DeveloperEfficiency are VP-grade visualizations |
| Insight Quality | 8.5/10 | Adoption growth + persistent waste + dev efficiency gap = three actionable threads |
| Storytelling | 8/10 | MonthlyTrends fills the narrative gap. Stale recommendations hurt credibility. |

**Overall: 8.8/10** — Fix the stale recommendations and this is VP SATISFIED territory.
