Product Management

Daily report automation: 3 sources, 88 rows, 11 AM

2026-08-18 · 7 min read

The short answer

Daily reporting is 90% ritual, 10% signal. For the team at LiveKeeping we built a Google Apps Script pipeline that unifies Kibana, MongoDB, and GA4 into one auto-populated report — 88 mapped rows, delivered at 11 AM with zero manual steps. The automation wasn't the win; the agreed shape of the report was.

Every analytics team has a morning ritual: open 3 tabs, re-copy ranges, fight a formula, paste into Slack. For a growing B2B SaaS that ritual is a hidden cost — invisible in product metrics, present every single day.

The pipeline

  • Sources: Kibana (logs), MongoDB (product), Google Analytics (web events)
  • A Google Apps Script backend runs on a schedule, pulls each source via APIs, and maps every row into one canonical schema
  • Outputs: an auto-populated Sheet at 11 AM (before the morning sync)

What made it stick (and what snuck out)

  • The schema came first. We agreed on the 88 rows as a decision document before any script; the script just rendered the decision.
  • Vendor lock-in was the risk. Pipelines die when one API changes; each source sat behind a tiny adapter so a Kibana change = one file, not a rewrite.
  • 0 manual steps. If a human must touch a pipeline daily, it will be touched differently by three humans.

The result

  • 3 sources unified, 88 rows mapped
  • 11 AM auto-populate, 0 manual steps
  • Team on-call removed; spreadsheet became the single truth for stand-up

What I'd do differently

  • Audit the output contract. I'd print the Sheet schema on a wall so users stopped asking "which tab is that again?"
  • Version the pipeline. Apps Script projects drift; add a version marker the moment it becomes the team's firehose.

Deep dive here: the daily report automation case study. If you live in metrics-heavy B2B, my compliance gap diagnostic is home data hunting — the same habit of watching the numbers actually flow.

Frequently asked questions

What is report automation in practice?+
Rules that pull three sources, map 88 rows, and publish to Sheets — no human copy-paste. It runs on a Google Apps Script cron job.
When does report automation pay off?+
When the same 30 minutes of manual work repeats daily. LiveKeeping killed a morning ritual on day one.
Can non-engineers build these pipelines?+
Yes. Google Apps Script + connectors covers most team dashboardss; the design, not the code, is where value comes from.
S

Saswata S. Sengupta

PM at Upcore Technologies. Cut checkout abandonment 73.1% to 53.9%. IIT Jodhpur MBA. All posts are grounded in shipped work with published numbers.

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