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Aurelius · Work & Leadership
Knowledge + Guidance

Why do our complex deal models keep breaking?

You built a model that works on the deals you understand. On the hard ones, it breaks — and you assume the formula is wrong. It isn't. Somewhere inside, an assumption is doing work no one checked. You and your team treat a guess as a fact. The growth rate someone typed in six months ago. The churn number borrowed from another deal. Nobody asked if it still held. That isn't a modeling failure. That's a habit you haven't built. The fix isn't a better spreadsheet. It's a practice: before the numbers run, someone in the room names each assumption and asks if it earned its place. Do that together, every time, and the complex deals stop breaking in ways you can't explain.

◆ How this problem reads on the two dials
GuidanceKnowledge
More coaching
A little to learn
1:1 with AureliusWith others (a Pod)
Some one-to-one
Practise with peers
The core failure is behavioral — treating assumptions as facts without checking them — so most of the work is building a team habit, not learning new theory.
How the two dials adapt to you →
What’s really going on

The model isn't broken. An assumption inside it is doing work you never checked. Find the inputs you treated as fact — growth rate, retention, timing — and test each one with your team before you trust the output again. Choose to question, not just calculate.

🔒 What you’ll build togetherUnlock by starting
A moveList every assumption in the model out loud, with the team, before you run it.
A moveFor each one, ask: is this observed, or assumed? Mark it plainly.
A moveAssign one person to argue against each assumption for two minutes.
A moveRebuild the model with the weakest assumption flagged, not buried.
A moveRe-check assumptions whenever the deal changes shape — not just once at the start.
PractiseAssumption Audit · a Pod of 4 · 30 min

What changes unlock by starting

  • A shared, visible list of every assumption behind the model.
  • Fewer surprises when a deal shifts, because you tested inputs, not just formulas.
  • A working habit of questioning inputs before trusting outputs, on every complex deal.
  • A team that catches weak assumptions early, before the deal breaks in front of a client.
One object, two jobs: a public answer to a real problem, and — the moment you start the chat — Aurelius’s live plan for your version of it.