Right Questions vs. Right Answers

We spend most of our energy chasing the right answer. But a perfect answer to the wrong question is still the wrong outcome.

It happens everywhere, every day:

→ A sales pitch built on what we want to sell, not on the problem the customer is trying to solve.
→ A team asking “who dropped the ball?” instead of “what made it easy to get wrong?”
→ An incident closed fast, without asking whether the fix will hold.
→ A prompt that says “give me an answer” instead of sharing the goal, the context and the limits.

And the stakes keep rising. As we move from programs to AI to superintelligence, the most important question may not be “What can it do for us?” but “What should we want, and how will we know it’s right?”

Most thinking is a line, and lines end:
Wrong question → right answer to the wrong problem → polished, confident, and useless.

What if thinking worked as a loop instead?

🔄 The Question Loop: seven stages, one continuous cycle.
Question → Understanding → Options → Ownership → Action → Outcome → Better Question

The final stage is where learning begins. Every outcome feeds a sharper next question, so the loop keeps evolving instead of stopping at the answer.

Try it this week:
① Before any answer, rewrite the question once.
② In your next meeting, spend five minutes on questions only.
③ With AI, give it role, context, task and format, then ask “What am I missing?”
④ End each day with one better question for tomorrow.

Because every answer should sharpen the next question.

💭 Worth a thought: which question in your work would make the biggest difference if you asked it differently?