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Prompt course · 8 lessons · 26 prompts · 1 hour · Beginner

AI for Sales Operations Analysts

This prompt course teaches sales operations analysts how to use AI for CRM data, dashboards, performance analysis, and forecasts. Each lesson gives you a prompt you can use the same day.

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What you'll learn

  • CRM data standards: Write clear rules for what counts as a complete account record.
  • Deduplication rules: Ask AI to suggest matching rules for duplicate leads and accounts.
  • Dashboard KPIs: Choose the few numbers a sales dashboard should show.
  • Calculated fields: Draft formulas for pipeline coverage, win rate, and quota attainment.
  • Performance summaries: Turn a table of sales results into a plain-language trend summary.
  • Forecast scenarios: Build best-case, likely, and worst-case revenue views.
  • Process maps: Map a sales process and find where deals get stuck.
  • Enablement guides: Create data entry checklists and training notes for the sales team.

What's inside

8 lessons · 26 prompts
  1. Before you start · framework course ICIO and CIDI: Reusable Prompt TemplatesICIO helps you build repeatable prompts to classify leads and extract CRM notes, like automating your weekly pipeline report.
  2. Start here Marcus's Monday, two waysA day in the life of a Sales Operations Analyst, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts CRM Data Quality Basics
  4. 02 Lesson 2 · 3 prompts Sales Dashboard Building
  5. 03 Lesson 3 · 3 prompts Sales Performance Analysis
  6. 04 Lesson 4 · 3 prompts Revenue Forecasting Support
  7. 05 Lesson 5 · 5 prompts Sales Process Optimization
  8. 06 Lesson 6 · 3 prompts Sales Tool Administration
  9. 07 Lesson 7 · 3 prompts Territory Planning And Design
  10. 08 Lesson 8 · 3 prompts Sales Team Enablement Admin

About this course

7 topics

Prompts for Sales Operations Analysts, Step by Step

This course is a set of prompts built for the daily work of a sales operations analyst. You will not learn to build AI models. You will learn how to ask your AI tool for the first draft of a CRM rule, a dashboard field, or a forecast note.

Each lesson follows the same shape: a short explanation, a prompt you can copy, and a note on what to check before you use the answer. The lessons are ordered to match the flow of a sales operations week, from data cleanup to team enablement.

  1. The lessons
    1. CRM Data Quality Basics: Use AI to define CRM data standards, deduplication rules, and cleanup formulas that improve data quality.
    2. Sales Dashboard Building: Use AI to choose sales dashboard KPIs, draft calculated fields, and explain reports to stakeholders.
    3. Sales Performance Analysis: Use AI to summarize performance trends, diagnose conversion drops, and draft win-loss insights.
    4. Revenue Forecasting Support: Use AI to build forecast scenarios, explain variance drivers, and draft forecast commentary.
    5. Sales Process Optimization: Use AI to map sales processes, find bottlenecks, and draft change plans that improve efficiency.
    6. Sales Tool Administration: Use AI to compare tools, draft requirements, and troubleshoot CRM errors from descriptions or screenshots.
    7. Territory Planning And Design: Use AI to draft territory design principles, generate balancing scenarios, and prepare change communications.
    8. Sales Team Enablement Admin: Use AI to create training guides, data entry checklists, and office hours agendas that support sales teams.
  2. What the course covers

    The course covers eight lessons that follow a sales operations analyst's week. You start with CRM data quality and dashboard building. Then you move into performance analysis, forecasting, process improvement, tool administration, territory planning, and sales team enablement.

  3. How the lessons connect

    Each lesson builds on the one before it. The CRM data rules you write in lesson one make the dashboard fields in lesson two easier to define. The performance analysis in lesson three feeds the forecast commentary in lesson four.

  4. How to use the prompts well

    Treat every prompt as a starting point, not a final answer. Add your own context, like the name of your CRM, the segment you support, or the time frame you care about. Then read the reply with a critical eye and adjust the numbers or rules to fit your company.

  5. Who this course is for

    This course is for sales operations analysts who already know their CRM and their sales team. It is also useful for sales managers who own reporting and want to save time. You do not need any technical background beyond comfort with spreadsheets and a CRM.

  6. Safety and privacy for this job

    Sales data often includes customer names, contact details, and revenue figures. Before you paste anything into an AI tool, remove personal information and check your company's policy. The course shows you how to describe a problem without sharing the raw data.

  7. Your next step

    Open the first lesson and try the CRM data quality prompt on a small list. See how the AI reply compares to what you would write yourself. Then move to the next lesson when you are ready.