Built around how you actually run.
Custom internal tools that match how your business actually runs. Sometimes that's a dashboard. Sometimes it's an email at 7am or a Slack alert at the right moment. We build the thing that gets used.
Find the story · Build the system · Improve the business
The revenue is already in your data. The diagnostic finds it.
Three Dials helps founders, CEOs, and operators surface the revenue opportunity inside their data, cut the manual work, and build practical systems that make the business easier to run. Twenty-five years inside the rooms where getting it wrong wasn't an option.
Three Dials
01
Find
the story
02
Build
the system
03
Improve
the business
Built inside the rooms where getting it wrong wasn't an option
The Wall Street Journal
MarketWatch
Dow Jones
Major League Soccer
Sports Illustrated
TheStreet PRO
The Arena Group
What I kept seeing
Smart teams. Real data. And decisions that were harder than they needed to be.
Not because people weren't capable. Because the revenue opportunity inside the data wasn't visible, and nobody had built the right system to surface it. That's the problem I built Three Dials to solve.
What we build
Tools, data solutions, and AI workflows that fit how you operate.
Reporting that tells the real story.
Layers that surface pipeline health, retention signals, and growth rhythms - not vanity metrics that sit unread. The format follows the decision being made: dashboard, weekly email, alert, or scheduled briefing. Whatever fits how you actually work.
Hours of manual work, replaced.
Production automations that take repetitive analysis, reporting, and operational tasks off your team's plate. Built on n8n, Claude, and your existing stack. Owned by you, fully documented, extensible by your engineers.
How we work together
Three engagements. All of them ship something.
Diagnostic
$7,500 · 2 weeks
We map your revenue stack, surface the highest-leverage opportunities, and ship three quick wins to production by week two.
Best for: Leaders who suspect the data has more to say than the current reporting shows.
Implementation
Fixed scope · 4-12 weeks
We design, build, and deploy the systems from your roadmap. Two-week sprints, weekly demos. Working software before the next invoice.
Best for: Companies who've identified the opportunity and need experienced builders to ship it.
Advisory
$5,000/mo · cancel anytime
A senior operator on call. Strategic reviews twice a month, build supervision, vendor evaluation, hiring help, architecture reviews.
Best for: VPs and CROs scaling capability internally who want a sharp outside eye every month.
Also
AI automation builds for teams that need the workflow shipped.
Dedicated engagements for teams that need a focused AI workflow build - n8n agent systems, Claude pipelines, MCP integrations - separate from the diagnostic-led work above.
trigger
classify
summarize
route
weekly revenue brief
Three Dials also builds
The systems we recommend are the ones we run ourselves.
Three Dials runs three production products. The architectures we recommend to clients are the same ones we use in-house - which is why they hold up under real load.
Pressflow
Content publishing automation, end to end.
BuildScore
Build readiness diagnostics for engineering orgs.
Sitemark Trials
Structured experiments for clinical growth.
Case study · Composite
How a B2B subscription business found $420k of revenue already in its data.
-
01 · The signal
Net retention was eroding faster than the dashboard showed.
The CEO suspected churn was understating the real problem. Expansion was flat. The weekly operating review kept landing on the same three numbers, none of which were the right ones. The data was there. The story wasn't.
-
02 · The diagnostic
Two weeks inside the data and the operating rhythm.
We mapped the revenue stack end to end, instrumented churn cohorts against product usage, and sat in on the customer success standup. By day five we had the cohort view that the existing reporting couldn't produce. By day ten we had three quick wins ready to ship.
-
03 · What shipped
Three production systems by the end of week two.
- A weekly retention-risk brief delivered to the founders' inbox at 7am Monday.
- Slack alerts for expansion signals, fired at the moment a CSM could act on them.
- A one-page operating summary that replaced the dashboard nobody was opening.
-
04 · The outcome
The numbers the team was already paying for, finally surfaced.
The diagnostic ended on day fourteen. The systems stayed. The CEO took the cohort model into the next board meeting. The CRO rebuilt the expansion playbook around the alerts. None of this was new data. It was data that had finally been put in front of someone who could act on it.
- $420k
- modeled retention and expansion opportunity surfaced
- 14 days
- from kickoff to working insight in production
- 3 systems
- shipped during the diagnostic, owned by the client
Composite case. Numbers and details combined from multiple engagements; identifying specifics changed.
Closing the visibility gap