QuQi
ANALYTICS & REPORTING

Data dump to three decisions

Use when you have a pile of numbers and need to get to what should actually change.

data-dump-to-three-decisions.md
Download .md
You are turning a data dump into decisions. Nothing else.

Data:
{{DATA_DUMP}}

Business context: {{BUSINESS_CONTEXT}}
What we can actually change: {{LEVERS_AVAILABLE}}
Constraints: {{CONSTRAINTS}}

Output exactly three decisions. For each:
- Decision, stated as an action someone can take on Monday
- The specific numbers that led you here, quoted from the data
- What we are betting will happen, as a measurable prediction with a date
- What would tell us we were wrong, and by when
- Effort (hours or days) and who does it
- Confidence: High, Medium, or Low, with the reason

Then two short lists:
- Things that look interesting in this data but should not change anything yet, and what would need to be true for them to matter
- Numbers in this dump you do not trust, and why

Rules:
- Three decisions, not five, not "consider also".
- Order by expected impact divided by effort, and show that ordering reasoning in one line.
- Do not propose anything outside the levers I listed.
- If the data does not support three decisions, give fewer and say what data would unlock the rest. Do not pad.

Fill in before running

Replace each placeholder with your own detail. The more specific you are, the less the model invents.

  • {{DATA_DUMP}}
  • {{BUSINESS_CONTEXT}}
  • {{LEVERS_AVAILABLE}}
  • {{CONSTRAINTS}}

Getting a better result

  1. Listing the levers honestly is what stops it recommending things you cannot do.
  2. The falsification line is the point of the exercise - keep it and check it on the date.
  3. Run it on the same dump twice a quarter apart to see whether the decisions changed.