A working operating review
intentionally-designed scorecard, agenda, and cadence
The room uses them to decide, so leadership leaves with commitments and a plan for the week.
Turn your scorecard, agenda, and cadence into one decision system that produces clear commitments and follow-through.
Your team has more data, dashboards, and AI summaries than ever—and your reviews still end without a decision.
In 30 minutes, we’ll identify whether the constraint is metrics, cadence, AI handoff, or action follow-through — whether or not we work together afterward.
This is for executive teams with real analytics investment, recurring operating reviews, and decisions that still depend too much on interpretation, politics, or heroic follow-up.
Not disconnected artifacts: one decision system your team runs.
intentionally-designed scorecard, agenda, and cadence
The room uses them to decide, so leadership leaves with commitments and a plan for the week.
A metric dictionary with an owner and a next move: if this number moves, we do X. Your team will mean the same thing when they say the same word.
Tools, vendors, and hires sequenced against the decision system so every dollar of analytics spend has a job.
AI holds the analysis. People hold the mission. The pipeline is built so both do their best work.
The numbers show what moved. People own the next move. Reporting is built so a tile becomes next week’s work.
If one of these sounds familiar, the decision system — not the analytics team — is usually the constraint.
You bought dashboards or a BI stack, but the operating review still feels subjective and inconclusive.
AI produces more analysis, but executive alignment and follow-through haven’t moved with it.
The team spends the meeting debating what a number means instead of deciding what to do about it.
Commitments stick when the right people are present and fade when they aren’t.
Every engagement exists for one reason: to keep your decisions true to what your organization is for.
Decision Signals™ is the method. The job is below.
Most common starting point
For teams already invested in analytics whose decisions aren’t keeping up.
For teams about to invest in BI, vendors, or analyst hires — and want the operating model first.
For teams that have a system and want senior judgment in the room, cycle after cycle.
I’m Eric Brafford. At every stop in my career inside multi-unit operators, I’ve been in the room where executive decisions get made — restaurant operations at Steak n Shake, corporate strategy at Choice Hotels International, and most recently Senior Director of Commercial Analytics at Extended Stay America.
I now advise executive teams at multi-unit operators on the systems behind their business reviews. The thesis is simple: AI is helping you analyze faster. Your decision-making is not keeping up. The work is designing the system so it does.
I’ve worked across field operations, commercial analytics, corporate strategy, finance, and IT—and have helped integrate AI into the workflows that connect them. The work is not to build each layer; it is to redesign the decision system that makes them work together.
I believe an organization stays true to its purpose through the design of its decision system. Nobody decides to drift. It happens through the machinery: a metric that rewards the wrong behavior, a review cadence that trains short-term thinking, a dashboard that buries the numbers the mission depends on. And AI compounds whichever system you point it at. That’s why I build decision systems where AI does the heavy analytical lifting and human judgment, the thing that actually carries a mission, stays in charge. Not more dashboards. Decisions your mission would recognize.
We intentionally make our Operating Manual public. Publishing how the practice runs is a constraint, not a brochure: it makes it harder to drift from the mission, and it lets clients see the same rules we work under.