Automate your Monday morning report.
Stop spending 3 hours on it.
Every Monday morning, someone on your team logs into three tools, copies numbers into a spreadsheet, checks the formulas, and posts to Slack. When they're out, the report doesn't happen. When they make a typo, the numbers are wrong. That's the workflow we automate first -- and most often in 5 days.
Series A client: 3 hours freed every Monday. Automated in 5 days.
"Every Monday, before I could do anything interesting, I had to spend three hours."
This is how one founder described their weekly reporting workflow. It's the most common thing we hear on a scope call -- and the most common first automation we build.
The weekly cost
Three hours every Monday, pulling from the same tools, into the same spreadsheet, to post to the same Slack channel. That's 150+ hours per year for one workflow.
The systems involved
Stripe for revenue. HubSpot for pipeline. Google Analytics for product. None of them talk to each other. A human plays data courier between them every Monday.
Judgment required
The data is the same every week. The format is the same. The destination is the same. None of this requires a human -- it requires a computer running a scheduled job.
What an automated Monday morning report looks like
Here's the typical output: a structured Slack message that lands automatically every Monday at 8am, before the standup. No human required.
Before: the manual version
- Open Stripe, pull MRR and new MRR, copy to spreadsheet
- Open HubSpot, pull pipeline value, new leads, copy to spreadsheet
- Open Google Analytics, pull signups and activation, copy to spreadsheet
- Calculate week-over-week deltas manually
- Format the Slack message, check the numbers, post
- Repeat every Monday -- unless you're out, in which case it doesn't happen
After: the automated version
- Stripe, HubSpot, Google Analytics pulled via API every Sunday night
- Data joined, deltas calculated, anomalies flagged automatically
- Formatted Slack message posted at 8am Monday -- every Monday
- If a data source is unavailable, you get an alert instead of a silent failure
- Works when your team is out, on holidays, during a crisis
- Numbers are always accurate -- no formula errors, no copy-paste typos
From manual to automated in 1-2 weeks
Scope and build
- 30-minute kickoff: data sources, metrics, format, Slack channel
- API connections built to each data source
- Data joins and metric calculations implemented
- Slack formatting built to match your preferred layout
- Error handling and failure alerting added
Test and hand off
- Validated against 4 weeks of historical data for accuracy
- Scheduled job configured and monitored
- Runbook written: how to monitor, adjust metrics, handle common failures
- Live review call with your team
- 2 weeks of post-delivery support included
$5,000 -- $8,000. Fixed price.
The exact price depends on how many data sources are involved and how complex the formatting needs to be. You'll have a scope note with a fixed number within 24 hours of the initial call. No commitment until you approve it.
At 3 hours saved per week at $150/hr loaded cost: payback in under 4 months. After that, the report runs for free every Monday for as long as your stack stays the same.
$5,000-$8,000 fixed price · Scope note in 24 hours · 1-2 week delivery · 2 weeks post-delivery support