# Founder weekly metrics build-in-public workflow worksheet

Source workflow: https://dabblewith.ai/workflows/founder-weekly-metrics-build-in-public/

## 1. The real job
- Who is this for?
- What recurring task are we improving?
- What does a good output look like?

## 2. Safe input
- What sample input can we use?
- What must be redacted first?
- What data must never enter an external AI tool?

## 3. Workflow draft
Problem: You want to share weekly progress publicly but don't know which numbers honestly reflect momentum versus vanity.

Outcome: Each Friday you publish a 6-line update with the same metrics, plus one lesson, in 30 minutes.

Tools today:
- GA or analytics export
- Plaintext notes
- Newsletter or X thread
- Any LLM in summarization-only mode

Steps:
1. Pick 6 metrics: visitors, returning visitors, signups, replies/conversations, workflow submissions or product actions, and MRR (or $0 if true).
2. Add 2 qualitative lines: what experiment ran, what surprised you.
3. Add 1 explicit failure or thing that didn't work.
4. Use an LLM to compress the raw notes into the same 6-line template every week.
5. Publish on the same day and time every week so readers know when to expect it.

## 4. Human review gate
Founder writes the failure line themselves. LLM may rephrase but must not invent metrics.

Reviewer:
Approval rule:
Escalation rule:

## 5. Privacy / never automate
Do not publish member-level data, individual phone numbers, or private partner names without consent.

Never automate:
- 
- 
- 

## 6. First run notes
What worked:
What failed:
What changed after review:

## 7. Publish / share decision
Can this be published? yes / no
What must be removed before publishing?
Attribution / backlink preference: