I go through every customer call and ticket, tell you what’s worth building and why, and help your team ship the first piece.
Book a free diagnosticI connect to your call recordings, support tickets and CRM notes, and AI reviews every conversation from the last six to twelve months. Not a sample, all of it.
You get: a list of every customer request, grouped into themes, with the accounts behind each.
We attach revenue to each theme: the accounts asking, their ARR, and which renewals are coming up. Then we sit down with your product and engineering leads and agree what comes first.
You get: a roadmap ranked by revenue, and the reasoning written down.
We take the top item. AI drafts the spec, the design options and the first code. One of your engineers reviews and finishes it, inside your normal review and release process.
You get: the first item built and in review.
It goes live. We tell the customers who asked, set up the numbers that show whether it worked, and walk your team through running the process without me.
You get: the release, a board-ready summary, and the setup to keep listening.
| Theme | Accounts asking | ARR behind it | Renewals in 6 months | Effort | Rank |
|---|---|---|---|---|---|
| Bulk user import | 38 | $2.1M | 6 | Small | 1 |
| SSO for mid-market | 22 | $1.8M | 4 | Medium | 2 |
| Custom report export | 51 | $0.9M | 2 | Small | 3 |
| Mobile approvals | 17 | $0.6M | 1 | Large | 4 |
Example with made-up numbers. Yours comes from your own customer calls, tickets and CRM.
The point: the most-requested item is not always the most valuable one. Here, export has the most accounts asking, but bulk import has more than twice the revenue behind it and six renewals coming up.
Every request theme, the accounts behind it and the revenue at stake, so priorities stop being a debate.
Built with AI, reviewed by your engineers, and in customers’ hands by the end of the month.
What customers are asking for, what you’re building first and why, and how you’ll measure it.
The setup that keeps reviewing new calls and tickets after I leave, on the tools you already use.
My honest view of what your product team needs next, whether or not that involves me.
| Who | Time | What for |
|---|---|---|
| You (CEO) | About 1 hour a week | Kick-off, the week 2 decision, and the final review |
| Product lead or PM | About 4 hours a week | Day-to-day owner, joins the ranking and the build |
| One engineer | Weeks 3 and 4 | Reviews and finishes the AI-drafted work, and ships it |
| Ops or IT | About 1 hour | Read access to call recordings, tickets and CRM |
I built this process with my own team at a $120M ARR SaaS company. We reviewed more than 16,000 customer calls a year, found about 700 distinct requests, and narrowed them to 150 worth building. Shipping the ones customers were leaving over first lifted retention five points in a quarter. Read how it works →
You keep the roadmap, the process and everything we built. Many teams simply carry on.
I stay as your fractional CPO and roll the process out across the team.
If the calls show customers ignoring your AI features, we run Monetizing AI next.
Usually, yes. The top item is often a focused change, and AI does the first draft of the spec and code. If your release cycle is longer than a month, we agree that up front and the item is built and in review by day 30.
It always is. Week one is about getting the signal out of what you have: recordings, notes, tickets, win/loss reasons, even churn surveys.
I work inside your accounts and tools, with read-only access, under your NDA and data rules. I only use AI tools set up not to train on your data.
No. I use the tools you already have and add only what is needed. Nothing ships without your engineers’ review.
Then you’ll hear it. Sometimes the highest-revenue fix is in onboarding, pricing or support, not a new feature.
You keep everything. If it’s working, I can stay on as your fractional CPO.
Tell me about your product and your team. You’ll leave with three things I’d fix first, and an honest answer on whether I can help.