1. Trend first, explanation second
Start by asking what changed over a defined period. Do not start with “why” until you confirm there is a repeatable trend and enough reliable coverage to support interpretation.
A strong first question is descriptive and scoped: compare this month vs last month, or summarize the last 30 days and flag confidence limits.
2. Coverage is part of the trend story
Trend analysis fails when coverage is ignored. If one window has much lower reliable data, the trend can look stronger or weaker than it really is.
- Ask for coverage details in the same answer.
- Check whether reliable minutes differ materially across windows.
- Treat low-coverage windows as provisional, not final conclusions.
3. Compare consistent contexts
“Work-energy trend” is often a mix of routines. You get more actionable insights when you compare similar contexts (e.g., weekdays, meeting-heavy days, mornings, deep-work blocks) instead of all days blended together.
Good trend-analysis prompts
- "Compare this month vs last month for fatigue and active minutes, including coverage detail."
- "Show my weekday vs weekend work-energy trend over the last 30 days."
- "Summarize trend changes and suggest what follow-up comparison is most reliable."
4. Ask for next-step comparisons
Once a trend is confirmed, ask for a targeted comparison or relationship analysis. This is where trend summaries become operational: you move from “something changed” to “under what conditions does it change?”