AI+ for Data Storytelling
Turn Evidence Into Decisions
Your analysis is thorough. Your charts are clear. Your findings are still being ignored.
Your analysis is thorough. Your charts are clear. And your findings are still being ignored. The gap isn't the data — it's the story you're not telling. AI+ for Data Storytelling gives you the LEAD Framework: a four-component scaffold for turning any analytical output into a decision-driving argument. Thirty-eight prompt templates, five audience archetypes, and seven format adaptations, applied across research, policy, corporate, and public-sector contexts. Built by an AI engineering firm for analysts who do rigorous work — and deserve to see it drive decisions.
Data analysts, researchers, policy officers, consultants, and business intelligence professionals who regularly produce findings and need to communicate them more effectively to non-technical decision-makers. Mid-career, technically competent, but often frustrated that their work doesn't drive the decisions it should.
Also for:Managers and team leaders who present performance data, research findings, or market analysis to senior stakeholders — and anyone who needs to turn a spreadsheet or report into a compelling argument.
- Apply the LEAD Framework to structure a data-driven argument for any professional audience
- Use AI to identify the most decision-relevant insight in a dataset or analytical output
- Calibrate a data story — structure, language, visual support, and length — for different audiences (board, operations, media, public)
- Handle uncertainty, contradictory data, and caveats in a way that builds rather than erodes credibility
- Adapt a single data story across multiple delivery formats (report, briefing, dashboard, press release, social post)
- Diagnostic
- How strong is your data story?
- Chapter 1
- AI in Data Communication Right Now
- Chapter 2
- The Analyst-to-Narrator Mindset Shift
- Chapter 3
- Finding the Story in Your Data
- Chapter 4
- Structuring the Argument
- Chapter 5
- Writing the Data Story
- Chapter 6
- Knowing Your Audience
- Chapter 7
- Data Honesty
- Chapter 8
- Visual Support
- Chapter 9
- Multi-Channel Data Stories
- Chapter 10
- Your 30-Day Data Storytelling Practice
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Often packaged with this title.
T3-29 · Job SkillsAI+ for Data Analysis
T3-95 · Job SkillsAI+ for Monitoring & Evaluation
T3-77 · Job SkillsAI+ for ESG & Sustainability Reporting
T3-78 · Job SkillsAI+ for Crisis Communication
T3-15 · Job SkillsAI+ for Report Writing
T3-34 · Job SkillsAI+ for Data Visualisation
T3-84 · Job SkillsAI+ for Quantitative Research & Statistics
T2-72 · Job RolesAI+ Finance Directors