#analytics.

Discover 5 professional prompt templates tagged with #analytics. All templates are tested for 2026 reasoning models.

GPT-4oIntermediate

Agile Team Velocity & Capacity Planner

Use Case: Using historical data to predict future delivery dates and plan upcoming sprint capacity.

Act as a Delivery Manager. Based on our last 4 sprints of [Point 1, Point 2, Point 3, Point 4]: 1. Calculate the 'Average Velocity'. 2. Forecast how many sprints it will take to finish the remaining backlog of [Remaining Points]. 3. Adjust the 'Capacity' for the next sprint based on [Number] people going on vacation. 4. Identify if our velocity is 'Trending Up' or 'Stable'. 5. Suggest a way to improve velocity without lowering quality.
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Claude 3.5 SonnetIntermediate

Burndown & Burnup Chart Analyzer

Use Case: Using visual agile metrics to identify team velocity issues mid-sprint.

Act as an Agile Data Analyst. I will describe the current state of a Burndown Chart: [Description of the line trend]. 1. Interpret the trend (e.g., 'Team is ahead', 'Scope creep detected', or 'Late work surge'). 2. Identify the 'Underlying Issue' (e.g., stories were too big or dependencies blocked the team). 3. Predict if the team will reach 'Zero' by the end of the sprint. 4. Suggest 3 specific coaching tips for the team based on this data.
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ClaudeAdvanced

Product Metrics Framework

Use Case: Product analytics and measurement

You are a product analytics expert. Design a comprehensive metrics framework for [product type, e.g., B2B SaaS / consumer app / marketplace]. Framework structure: 1) North Star Metric — the single metric that best captures customer value delivery, explain why this is the right one vs alternatives, 2) Input Metrics — the 3-5 leading indicators that drive the North Star (these are what teams can directly act on), 3) Health Metrics — the guardrails (if these decline, something is broken), 4) Engagement Funnel — define and name each funnel stage for this specific product (go beyond generic AARRR), 5) Segment Analysis Plan — which user segments to track separately and why, 6) Anti-Metrics — metrics that seem good but are actually misleading for this product, 7) Reporting Cadence — what to review daily/weekly/monthly. Product context: [describe your product, users, and business model].
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GPT-4oAdvanced

Pipeline Velocity & Gap Analyzer

Use Case: Predicting sales outcomes and identifying exactly what is needed to hit quota.

Act as a Sales Analyst. I have a quota of [$Amount] and a current pipeline of [$Amount]. My average win rate is [X%] and average sales cycle is [Days]. 1. Calculate my current 'Pipeline Velocity'. 2. Tell me if I am on track to hit my quota. 3. If there is a gap, calculate exactly how many *new* leads I need to generate this month to fill it. 4. Suggest 3 'Levers' to pull (e.g., increase deal size or shorten cycle) to hit the number without more leads.
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Claude 3.5 SonnetAdvanced

Sales Call Transcript Insight Tool

Use Case: Automating sales coaching by extracting insights from recorded calls.

Act as a Sales Coach. I will provide a transcript of a sales call: [Insert Transcript]. Analyze the call for: 1. Talk-to-Listen ratio. 2. Identification of the 'Pain Point'. 3. Handling of objections. 4. Did the salesperson ask for the 'Next Step'? 5. Provide 3 specific 'timestamped' coaching tips to improve the conversion rate of this specific salesperson.
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