Data Storytelling & Visualisation

Charts people grasp in five seconds and narratives that lead to a decision: audience briefs, a style guide and accessible palette, action titles, honest axes and rehearsed readouts.

Free · Mac (Apple silicon) and Windows · v1.0.0 · Other platforms

Then open the Marketplace in the app, search for Data Storytelling & Visualisation, and click Install. It goes into your own files, and works offline from then on.

What it installs.

1

Pillar

1

Area

50

Projects

207

Starter tasks

📊 Data & Analytics

Data Storytelling & Visualisation

Turning analysis into clear charts and narratives that lead an audience to the insight and the decision it supports.

  1. Audience and decision brief before any analysis
  2. One-sentence big idea for each piece of work
  3. Personal chart style guide
  4. Accessible colour palette for charts
  5. Choosing a main charting tool
  6. Reusable chart templates in your main tool
  7. Audit of your last five data presentations
  8. Chart choice cheat sheet by question type
  9. Source, date and caveat footnote standard
  10. Weekly makeover of one existing chart
  11. Swipe file of charts worth copying
  12. Peer review checklist before a deck goes out
  13. Feedback log after every presentation
  14. Portfolio of your best ten charts
  15. Insight log of findings and the decisions they drove
  16. Five-second test before sending any chart
  17. Monthly written commentary for a recurring report
  18. Reading and practice queue for visualisation
  19. Pre-attentive attributes and visual hierarchy
  20. Decluttering a chart step by step
  21. Writing action titles that state the finding
  22. Annotation and callout techniques
  23. Showing uncertainty honestly in charts
  24. Narrative structures for data presentations
  25. Small multiples and comparison layouts
  26. Writing the executive summary memo
  27. Practising the spoken walk-through of a chart
  28. Replacing pie and 3D charts in a standing report
  29. Cutting a forty-slide deck to ten slides and an appendix
  30. Choosing between static, interactive and animated formats
  31. Deciding when a table beats a chart
  32. Zero baselines, log scales and dual-axis decisions
  33. Alt text and accessibility pass on published charts
  34. Honesty audit of your own charts
  35. Leadership readout of a key finding
  36. Conference talk built around data
  37. Charts for an annual or impact report
  38. Figures for a research paper submission
  39. Research poster for a conference session
  40. Entry for a community visualisation challenge
  41. Researcher presenting findings to non-specialists
  42. Analyst moving into a stakeholder-facing role
  43. Presenting bad news or a null result
  44. Storytelling for a sceptical audience
  45. Presenting data on video calls
  46. Charts for a grant or funding proposal
  47. Charts in code with a grammar of graphics library
  48. House chart style for a team or publication
  49. Visual design of a long-form data report
  50. Scrollytelling or interactive data essay

Where it starts.

Each project arrives with its purpose, milestones and first tasks written out. Here is how the first three read.

Audience and decision brief before any analysis

Before a single chart is drawn, write down who will see the work, what they already believe and which decision it should inform. Analysts who skip this step end up with twenty accurate charts and no point, because the material was organised around the data rather than the question. A half-page brief takes fifteen minutes and decides what to cut later.

First tasks

  • Draft a half-page brief template with audience, decision, belief and deadline fields
  • Fill in the brief for the analysis you are working on now
  • Send the brief to the requester and ask them to correct it
  • Strike any planned chart that does not serve the confirmed decision

One-sentence big idea for each piece of work

Audiences remember one thing from a presentation, so it is worth choosing that thing deliberately. Writing the main message as a single complete sentence, with a subject, a verb and a so-what, forces you to commit to a point of view before you open the slide software. If the sentence will not come, the analysis is not finished yet.

First tasks

  • Write the main message of your current analysis as one sentence
  • Cut the sentence to 25 words or fewer without losing the so-what
  • Say the sentence to a colleague and ask them to repeat it back
  • Put the sentence at the top of the deck or memo

Personal chart style guide

Charts made on different days in different tools drift apart in font, colour and label style, and an audience reads that inconsistency as carelessness. A two-page style guide covering fonts, sizes, gridlines, label placement, number formats and when to use each colour makes every chart look like it came from the same careful hand. It also halves the time spent fiddling with formatting.

First tasks

  • Collect five recent charts you made and note every inconsistency
  • Write rules for fonts, gridlines, legends and number formats
  • Rebuild three of the charts to the new rules
  • Check the guide against your latest charts and update it @recurring(quarterly)

Make it yours.

Install Data Storytelling & Visualisation, then tell Aurum the date you're aiming for. It checks whether the plan fits the weeks you actually have.

Free · Mac (Apple silicon) and Windows · v1.0.0 · Other platforms

Blueprints are general information to help you organise your own work. They are not medical, financial, legal or other professional advice. See the Terms.