Audience, Objective and Key Message

First lesson of the Data Storytelling and Presenting Results course, free to read: about 15 minutes, 3 exercises and 3 quiz questions. This is the catalogue's base lesson; in the student space, it is rewritten for your profile.

Objectives

Identify the audience, the expected decision and the presentation context
Formulate a key message (big idea) in one sentence
Organize a presentation by starting with the conclusion

Audience analysis Key message The pyramid principle

You have spent days in the data. You have 40 charts. Your audience has 10 minutes. Data storytelling means turning an analysis into a message that is understood, remembered and acted on.

Exploring is not explaining

Exploratory analysis is for you: you search, test and make mistakes. You produce a lot of charts.
Explanatory analysis is for your audience: you convey what matters. You show few, carefully chosen charts.

The reflex to show all the work done (“to prove we worked hard”) drowns the message. Your work shows in the clarity of the conclusion, not in the number of slides.

The three questions before you start

Who? Who is the audience, what do they already know, what do they expect, who decides?
What? What should they know or do at the end? A decision, a trade-off, a realization?
How? Live meeting, document read alone, email, dashboard? A document read without you must be self-contained; an oral presentation can be cleaner.

The key message

The key message (big idea) fits in one complete sentence that contains a point of view, a number and a stake.

Weak: “Q3 sales analysis.”
Weak: “Sales evolved in a mixed way.”
Strong: “The 6% drop in Q3 revenue comes almost entirely from the Southern store channel; reopening on Saturday afternoons would recover about 40,000 euros per quarter.”

The message rests on a precise calculation. For example, to find out which segment explains a decline:

import pandas as pd

ventes = pd.DataFrame({
    "segment": ["magasin Nord", "magasin Sud", "web Nord", "web Sud"],
    "t2": [120_000, 150_000, 80_000, 60_000],
    "t3": [119_000, 124_000, 83_000, 59_400],
})
ventes["ecart"] = ventes["t3"] - ventes["t2"]
total_t2 = ventes["t2"].sum()
variation_totale = ventes["t3"].sum() / total_t2 - 1          # about -6%
ventes["contribution"] = ventes["ecart"] / total_t2            # as a proportion of Q2 revenue
principal = ventes.loc[ventes["ecart"].idxmin()]
part_baisse = principal["ecart"] / ventes["ecart"].sum()       # share of the total decline
print(f"{variation_totale:.1%}", principal["segment"], f"{part_baisse:.0%}")

Result: the South store explains more than the entire decline (the other segments offset it slightly). That is the heart of the message.

The pyramid: conclusion first

School reports follow the order “context, method, results, conclusion”. A professional audience wants the opposite:

The answer: the key message and the recommendation.
The arguments: two to four points that support it, each with a chart.
The details: method, data, limits, in an appendix.

If the audience only listens to the first minute, they leave with the essentials.

Adapt to the audience

The same result is told differently to the CEO (decision, financial impact, risk), to the regional manager (their scope, concrete actions) and to the data team (method, robustness). Preparing these versions avoids cramming everything into a single document.

Key takeaways

You present to help people understand and decide, not to show everything.
Who, what, how: settle these before the first chart.
One key-message sentence, with numbers; conclusion first.

Exercises

Solutions and tests stay on the server. In the student space, your code is run and checked, and the tutor gives hints before the solution.

CodeDifficulty 2Python in the browser2 hints

Find the segment that explains the decline

From ventes, calculate variation_totale (relative change in total revenue between t2 and t3), segment_principal (the segment whose t3 - t2 gap is the most negative) and part_baisse (this segment’s gap divided by the total gap).

import pandas as pd

ventes = pd.DataFrame({
    'segment': ['magasin Nord', 'magasin Sud', 'web Nord', 'web Sud'],
    't2': [120_000, 150_000, 80_000, 60_000],
    't3': [119_000, 124_000, 83_000, 59_400],
})

# variation_totale = ...
# segment_principal = ...
# part_baisse = ...

Multiple choiceDifficulty 11 hint

The best key message

Which slide title is the best key message for an executive committee?

Third-quarter sales
Mixed sales trends across channels
Revenue falls 6% in Q3, entirely because of the Southern stores: we propose reopening them on Saturday afternoons
Chart 3: revenue by segment

TaskDifficulty 22 hints

Write the framing of a presentation

Choose a recent analysis (or the one from exercise 1). In 10 lines maximum, write the framing of your presentation: audience, expected decision, format, key message in one sentence, and the three arguments that support it, in pyramid order.

The audience and the decision-maker are named
The expected decision or action is explicit
The format (meeting, document, email, dashboard) is specified
The key message is a complete sentence with at least one number
At most three arguments support the message, each tied to a chart or a number

End-of-lesson quiz

What is the main difference between exploratory and explanatory analysis?

Exploratory uses Python, explanatory uses PowerPoint
Exploratory is for finding, explanatory is for conveying a chosen message
There is none

According to the pyramid principle, where do you start?

The context and the method
The conclusion or the recommendation
The limits of the analysis

For a document read without you, you need:

Very clean slides with no text
A self-contained document, with action titles and explanations
Only tables