Diagnosis
Most product teams treat symptoms. They ship the feature the loudest customer asked for. They fix the bug that caused the most Slack messages. Symptoms are infinite. The real work is finding the structural issues underneath — the absence of a decision framework, the misaligned incentive, the unspoken disagreement that resurfaces every quarter.
Diagnosis frameworks make the invisible visible. They turn “things feel off” into a concrete list of load-bearing problems, ranked by leverage. They separate signal from theater.
You can't fix what you haven't named. A good diagnostic names the thing everyone felt but no one said.
- Has the population behind this metric changed?
- Is the data actually trustworthy?
- Are you measuring the right transition in the funnel?
The CVR Diagnostic Arc
Synthesis
Insights are cheap. Every team has a backlog full of good ideas, a Slack full of user feedback, a doc full of unresolved debates. What's scarce is the ability to take all that and synthesize it into a single, clear answer to the question: what should we build next, and why?
A synthesis pipeline runs continuously. NPS, support tickets, churn surveys, sales call notes, behavioral data — collected passively, themed on rolling 14, 30, and 60-day windows, and delivered as a weekly digest without manual work. The 14-day window catches emerging issues. The 60-day window shows what's structural. Without the windows, you mistake noise for signal.
If your roadmap has twelve priorities, you have no priorities. Synthesis is the art of the hard no.
Continuous Collection
Rolling Windows
14 / 30 / 60 days
Cluster + Interpret
Weekly Digest
Execution
Great teams don't ship through heroics. They ship through systems. Systems that catch misalignment early. Systems where the right thing is the default, not the exception. Systems where what didn't work teaches you something, not just what did.
And now: systems where AI agents do parts of the work autonomously.
I built an agent called Sasha in about ten minutes by dictating what I wanted to Claude. She runs daily. She monitors Slack for feature requests tagged with a specific reaction, conducts competitive and demand research on each one, drafts tickets, and generates interactive mockups. She handles the no-brainer features the team never has time for.
The ten minutes is the punchline. The decade of pattern recognition that made it possible is the story.
If your team can only ship when everyone is in the room, you don't have a system. You have a dependency graph shaped like a person.
The workflow
Claude
Research + thought partnership
Codex
Code constraints
Figma Make
Mocks
Codex
Implementation
Feature request detected
[Better template search]
Researching competitive landscape...
Competitors found
Canva (tag-based) · Pitch (AI search) · Beautiful.ai (manual scroll)
Jira ticket drafted.
Mockup generated.
Sasha · runs daily · no human in the loop
That's the system. If you want one installed, let's talk →