Make information easier to discuss—without inventing a cause.
Where could AI help with activities I already do?
A description of a pattern can support a useful conversation. Explaining why the pattern occurred requires information that may not be available.
- Begin with an observation
Describe what the supplied figures actually show.
- Separate explanation from evidence
A plausible cause is not a proven cause.
- Ask a more useful next question
Make missing information part of the output, not something to hide.
Amina examines fictional energy readings for a community facility. She explores formats that separate observations, unknowns, and questions rather than make unsupported savings claims.
Fictional monthly energy readings Month 1: 100 units. Month 2: 120 units. Month 3: 90 units. No information is supplied about weather, occupancy, equipment, or changes to the building. The figures are invented and do not represent a real facility.
Amina and every example here are prepared learning material, not a real case or an AI-generated result.
My daily-use practice plan
- Choose one information question
Use an invented or prepared source and specify what you want to understand.
- Separate observation, interpretation, and unknowns
Compare the source with a draft and identify unsupported explanations.
- Prepare one useful follow-up question
Record the additional context or qualified review needed. Do not make operational changes from this exercise.
Separate what changed from why it changed.
Compare the three prepared formats. Record a useful observation and one question that would help you understand the context.
“New equipment caused the reduction and guarantees future savings.” Is this supported?
Every option has an explanation. Open as many as you like — nothing is recorded or scored.
Next: 5WH strategy
How can I think clearly about an AI opportunity?