Talk it through with Aurelius
Library›Aurelius›The problem
Aurelius · Work & Leadership
Knowledge + Guidance

We measure most emissions — why does estimating the rest stop us?

You can measure most of what matters. The rest you estimate — and here is where you stall, checking the number again, waiting for a certainty that will not arrive. This is not really a data problem. It is a decision problem wearing data's clothes. You and your team already know how to measure. You have not yet agreed on how much uncertainty you will accept and move forward anyway. Say it plainly to each other: some of this will never be exact. Agree on a method, state the range, and stop treating "not certain" as "not done."

◆ 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 team already understands measurement; what trips them is a behavioral habit of demanding certainty, so coaching on decision and method outweighs new teaching.
How the two dials adapt to you →
What’s really going on

The measuring was never the hard part. What stops you is demanding certainty where only honest estimation is possible. Choose a method with your team, state the assumptions in plain words, publish the range, not just one number. A defensible estimate, used, serves more than a perfect one withheld.

🔒 What you’ll build togetherUnlock by starting
A moveWrite down every assumption behind the estimate, in plain words, before you write the number.
A movePick one estimation method as a team and commit to it for a full year.
A moveReport the range, not just the point figure, every time.
A moveAssign one person to own each uncertain category — stop relitigating it as a group.
A moveReview the method once a year on a set date, not every meeting.
PractiseAssumption Audit · a Pod of 4 · 30 min

What changes unlock by starting

  • Your team stops arguing over the same number at every meeting.
  • You publish a figure you can defend, not one you're ashamed of.
  • Decisions move forward despite incomplete data.
  • The group trusts its process, not just its result.

Related problems

The same struggle, seen by other coaches
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.