Forecast Next Period

Project future values based on historical patterns and state assumptions

🧪 Tested by a human Advanced 👤 Analyst 👤 Finance 👤 Manager
Based on this historical data, forecast [METRIC] for the next [PERIOD — 3 months / 6 months / quarter]. Show: (1) The predicted values with confidence range, (2) The method and assumptions used, (3) Key factors that could change the forecast, (4) A chart with the historical trend and projected values. State your confidence level.

Works on

⭐ M365 Copilot (Best)

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Tips for Best Results

  • At least 12 months of data gives better forecasts
  • The Analyst agent will choose an appropriate model (linear, seasonal, etc.)
  • Add “Account for seasonality” if your data has monthly or quarterly patterns
  • Always treat forecasts as estimates — communicate the confidence range to stakeholders

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Analyse this A/B test: Control [A METRICS] vs Variant [B METRICS]. Determine: (1) Statistical significance (p-value), (2) Confidence interval, (3) Effect size, (4) Sample size adequacy, (5) Winner recommendation with caveats, (6) Whether to continue testing.
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Analyse Dataset for Top Insights

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Analyse this data and give me the top [NUMBER — 3 / 5] insights. For each insight explain: what the data shows, why it matters, and what I should do about it. Include a supporting chart or visualisation for the most impactful finding. Write for [AUDIENCE — management / the team / a technical audience].
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Benchmark Comparison

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Compare our metrics against industry benchmarks. Our data: [PASTE KEY METRICS]. Industry: [INDUSTRY]. For each metric: (1) Our value, (2) Industry benchmark, (3) Percentile ranking, (4) Gap analysis, (5) Whether the gap matters and what to do about it. Flag where we significantly lag or lead.
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