Course overview
Start hereAI for Sales Operations Analysts
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Marcus's Monday, two ways

8 lessons · 26 prompts

A day in the life of a Sales Operations Analyst: what changes with these prompts.

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Marcus, a sales operations analyst at a mid-sized software company.

Marcus starts Monday with a CRM export that has 42 duplicate accounts and a field called Lead Source with 14 different spellings. He opens Claude and uses the CRM Data Quality Basics prompt to draft deduplication rules and a cleanup formula. He checks the rules against three accounts he knows well, then sends the list to the sales team for review.

At 10 a.m., the regional VP asks for a dashboard by Thursday. Marcus uses the Sales Dashboard Building prompt to choose four KPIs and draft calculated fields for pipeline coverage and win rate. He pastes the draft into his reporting tool and sees the structure come together in an hour instead of a day.

After lunch, he notices conversion dropped in the mid-market segment. He uses the Sales Performance Analysis prompt to summarize the trend and list possible causes. Then he uses the Revenue Forecasting Support prompt to draft a short commentary on the West region variance for the quarter close.

By 4 p.m., Marcus has a clean CRM rule set, a dashboard outline, a performance summary, and forecast notes. He closes his laptop on time and takes his daughter to soccer practice. The hour he won back goes to his family, not to more spreadsheets.

Before

  • Staring at messy CRM exports
  • Rebuilding the same dashboard by hand
  • Guessing why conversion dropped
  • Forecast comments written late at night

After this course

  • Clean CRM rules in one pass
  • Dashboard draft ready before lunch
  • Clear reasons for the conversion dip
  • Forecast notes done by mid-afternoon

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.

How this course works

  1. 8 lessonsOne task of your job each, from crm data quality basics to sales team enablement admin.
  2. Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
  3. Tick and completeTick the prompts you tried and mark each lesson complete.
  4. Get certifiedFinish and keep the prompts as your own library.