Every week, Revenue Operations produces a comprehensive data pack for executive leadership covering ecommerce revenue, ads marketplace performance, network health, pipeline, people metrics, and engineering productivity. The prior workflow was entirely manual: exports from 20+ data sources, copied into spreadsheets, manually assembled into a slide deck. The process consumed 6–8 hours every week — mostly spent on data pulling, formatting, and assembly rather than analysis.
The output was a static PDF with zero interactivity. Any follow-up question meant pinging the analyst directly. Copy-paste mistakes and stale data slipped through unnoticed. Each week started from scratch with no compounding improvements. The analyst was spending over 80% of their time on mechanical report assembly instead of the high-value work: analysis, insights, and strategic recommendations.
A single HTML file — auto-refreshed from live data sources and deployed to a hosted URL the entire organisation can access. Seven tabs of executive-ready analytics with full interactivity, AI-generated narration, and analyst-grade commentary. Built entirely with Claude Code — no other engineers involved.
Each tab covers a different business area: summary KPIs, network performance, ecommerce revenue, ads marketplace, product and engineering, pipeline, and people metrics. Every chart supports click-to-drill, hover tooltips with full context, and toggle between weekly, monthly, and quarterly views.
Custom pill-based controls let leadership slice data exactly how they want — no more static screenshots or PDF attachments.
A 10-segment audio walkthrough of the week's most important numbers, auto-generated end-to-end. A Python script analyzes the week's data, identifies the biggest movers (week-over-week changes, year-over-year comparisons, plan variances), and writes natural-language narration scripts. These are converted to broadcast-quality audio via a text-to-speech API, compressed, and embedded directly into the dashboard.
Leadership can listen to the weekly highlights while commuting. The entire pipeline — script generation, TTS, compression, embedding — runs in one command.
A Claude-powered writing system that produces analyst-quality narrative commentary for each section. Separate AI agents write each section with full business context loaded — not generic templates. Every section weaves in external research with inline citations. A reference document defines the exact formatting, tone, and depth expected.
Generated commentary is pushed directly to a shared Google Doc with full formatting preserved. A fact-checking layer cross-checks every figure in the commentary against the underlying data to catch fabricated statistics.
Every build runs through 30+ automated validations before it can deploy. Pass 1 checks all data sources for staleness. Pass 2 validates data integrity — key existence, numeric sanity, cross-checks between related metrics. Pass 3 runs deep validation across 12 categories: totals sum correctly, year-over-year calculations are directionally consistent, plan figures haven't drifted.
Outputs a scorecard with pass/fail/warn for every check. If anything critical fails, deploy is blocked automatically.
All data pulling is automated via Python. Sources include the analytics data warehouse, reporting tools, planning spreadsheets, CRM pipeline data, and infrastructure cost management. One command pulls everything. The build script transforms, validates, and assembles into the final dashboard.
Every component — the dashboard, the data pipeline, the QA system, the commentary engine, the audio narration, the deployment automation — was built and is maintained through conversational interaction with Claude Code. No other engineers were involved.
Wrote every SQL query from scratch — including reverse-engineering metric definitions by testing filter combinations against source-of-truth data until achieving exact matches. Built the entire parsing and transformation layer handling inconsistent formats across source systems.
Generated the entire interactive dashboard from scratch — no framework, no build tools, just vanilla JavaScript. Built every interactive component: pill toggles, click-to-drill charts, hover tooltips, responsive tab navigation, and animated transitions.
Designed the narration script generator that analyzes weekly data and writes broadcast-ready copy. Integrated text-to-speech with retry logic and compression. Built the multi-agent commentary engine with external source integration and fact-checking.
Weekly refresh is a conversation: the analyst says "refresh" and Claude pulls data, rebuilds, runs QA, and prepares for deploy. Bug fixes happen through screenshot-driven iteration — analyst sends a screenshot, Claude reads it, fixes the code, analyst confirms.
This is not a demo or proof of concept. This is a production system that executive leadership reads every week. It replaced a manual process that consumed the majority of an analyst's time and turned it into a 30-minute review. Claude Code operates as a full-stack development partner — from SQL query authoring to frontend design to audio pipeline engineering to production deployment. The analyst directs the work and makes judgment calls; Claude handles the execution across every layer of the stack.