Lesson 13.4: Getting Started with Analyst

Module 13: Researcher, Analyst, and Microsoft-Built Agents

Lesson 13.4: Getting Started with Analyst

Intermediate Last verified: 2026-06-02
Availability note: Researcher, Analyst, installed agents, Agent Store, Agent Builder, knowledge sources, and Copilot Studio paths can vary by license, admin approval, tenant settings, platform, language, and rollout status.

Lesson Promise

Use Analyst for data-analysis reports while keeping file selection, assumptions, calculations, and human review visible.

Real-World Scenario

An operations director wants to compare sales performance across regions and quarters from several spreadsheets and CSV files.

Core Concept

Microsoft describes Analyst as an AI-powered assistant for data analysis that can work with attached data, calculate statistics, identify trends, show outliers, and produce readable reports with charts or tables.

Analyst is found under Agents where enabled, and administrators may need to enable it. Availability and file behavior can vary.

Analyst output should separate observed data, assumptions, methods, confidence, and recommendations. It should not become an unchecked executive decision.

Step-By-Step Workflow

  1. Choose approved data files and verify they are safe to attach.
  2. Ask one precise analysis question.
  3. Request methods, assumptions, charts, outliers, and confidence level.
  4. Ask for data quality concerns and missing fields.
  5. Verify at least one statistic or chart manually.
  6. Convert findings into a reviewed executive note.

Prompt Lab

Bad Prompt

Analyze these files.

Better Prompt

Compare sales by region and quarter, identify trends and outliers, and show assumptions and verification steps.

Expert Prompt

Use Analyst to create a data-analysis report from the approved files. Compare region, quarter, product, and channel. Include key trends, outliers, charts or tables, methods used, assumptions, data quality concerns, confidence level, manual verification checks, and questions for the data owner.

Hands-On Exercise

Design an Analyst prompt for a safe sample dataset and list three manual checks.

Deliverable

An Analyst prompt, report review checklist, and executive-summary template.

Agent Selection Review Checklist

Common Mistakes

  • Using an agent because it sounds advanced instead of matching the task to the right tool.
  • Treating Researcher reports, Analyst reports, or agent answers as final without reviewing sources, assumptions, and limits.
  • Attaching sensitive data to an agent before checking purpose, permissions, and governance.
  • Confusing built-in agents, organization-installed agents, Agent Builder agents, and Copilot Studio agents.
  • Promising agent availability before checking license, admin approval, tenant controls, language, platform, and rollout.
Pro tip: Ask for an agent fit check before using a specialized agent: task fit, source fit, risk, availability, governance, and review needs.

Quiz / Checkpoint

What must you verify after an Analyst report?

The source files, data quality, calculations, assumptions, charts, outliers, and conclusions.

Official Sources To Verify

For AI founders and marketers

Want your AI product explained to a large AI-native audience?

Kingy AI helps AI companies turn complex products into clear, useful YouTube videos that drive awareness, product understanding, demos, clicks, and search visibility.