AI growth reporting: the reports write themselves
Every team wants reporting; nobody wants to make slides. The reporting expert assembles weekly summaries, monthly deep-dives, and launch retros from live data — delivered as real documents to your inbox, Slack, or Notion, on schedule.
Reporting is the tax on every growth role: hours each week pulling numbers from five dashboards into one document that half the audience skims. WorkDaddy’s reporting expert pays the tax for you. Because it lives in the same workspace as the analytics, ads, email, and visibility experts, it does not screenshot dashboards — it queries the live sources, writes the narrative, flags what actually changed and why it matters, and produces real deliverables: Word documents, spreadsheets, slide decks, or a Slack digest, on whatever schedule you set. Reports become a byproduct of the work instead of a separate job.
The reporting stack, on a schedule
Set the cadence once; the expert keeps it. Scheduled tasks make reporting a heartbeat rather than a scramble.
Weekly growth summary: traffic, conversion, revenue, email, ads, and AI visibility in one honest page
Monthly deep-dive: trends, cohort movements, channel ROI, and what to change next month
Launch and campaign retros: what shipped, what it cost, what it returned
Board and stakeholder decks produced as native PowerPoint, not screenshots
Narrative, not number dumps
A good report says what changed, why, and what to do — in sentences. The reporting expert writes the narrative layer: “conversion dipped because the top landing page slowed after Tuesday’s app install” beats a red arrow. Anomalies come with investigation attached, because the analyst expert can query the underlying data before the report ships. Numbers you would question have footnotes; claims trace to sources.
Delivered where people already look
Reports land as real files and messages: docx and xlsx via the document toolkit, decks for stakeholders, digests in Slack, Telegram, or Google Chat, pages in Notion. Every report is also a draft you can annotate — ask a follow-up question in the thread and the analyst answers it with data, not a shrug.
How it works
Connect your sources
GA4, Search Console, your store, ESP, ad accounts, and GEOly visibility data — the expert maps what can be reported on.
Set the cadence and audience
Weekly ops summary, monthly deep-dive, per-launch retros — choose formats, recipients, and delivery channels.
Review the first editions
Early reports arrive as drafts; your edits teach the expert what your team actually wants to read.
Let the heartbeat run
Reports arrive on schedule from live data. Ask follow-ups in the thread and get answers backed by queries, not guesses.
What you get
A weekly growth summary that writes itself from live data
Monthly deep-dives with narrative, cohorts, and channel ROI
Launch retros produced automatically when campaigns end
Board-ready decks and spreadsheets as native Office files
Anomalies investigated before they reach the report, not after someone asks
Hours of reporting labor returned to actual growth work every week
Handled by these agents
Frequently asked questions
What data sources can reports draw from?
GA4, Search Console, Shopify and other store platforms, ESPs like Klaviyo, ad platforms, GEOly AI-visibility data, and anything else connected through the 1,472-platform catalog or MCP.
What formats can it produce?
Native Word, Excel, and PowerPoint files via the built-in document toolkit, plus Slack/Telegram/Google Chat digests and Notion pages. No screenshots of dashboards.
Can I ask follow-up questions about a report?
Yes — reply in the thread and the analyst expert answers with actual queries against the underlying data, including the query logic if you want to verify it.
How do I trust the numbers?
Every figure traces to its source, anomalies ship with investigations attached, and the underlying queries are inspectable. Honest reporting — including what went down — is the default, not a setting.
Put the team to work on your store
Connect your storefront, analytics, and email stack, set a goal, and let the agents run the work end to end. Start on the free plan with your own model key.