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Telling the story with numbers

Deep-dive lesson · about 10 minutes · short quiz at the end

ccPlanning academy · communication · deep dive

Telling the story with numbers

Data doesn’t speak for itself. You speak for it.

The big idea

A table of numbers is not an argument.

Planners swim in data and assume it’s self-evident. It isn’t. A spreadsheet asks the reader to find the point; a story hands it to them. Your job is to do the interpreting, so the audience spends its energy on the decision, not the decoding.

The core rule

One chart, one message.

Every chart should make exactly one point, and you should be able to say it in a sentence. If a chart needs three sentences to explain, it’s three charts. The title should be the message — “Q4 needs 12 more FTE,” not “Headcount vs requirement.”

The narrative arc

Setup → tension → resolution.

Good number-stories follow a shape: here’s the situation, here’s the problem the data reveals, here’s what we should do. Most planning decks skip the tension — they present data and stop, leaving the audience to guess why they should care.

setup tension resolution

Lead with the answer

Conclusion first, evidence second.

Academic writing builds to the conclusion. Business communication inverts it: state what you found and what to do, then support it. A busy audience can stop reading once convinced — and if they don’t reach your buried punchline, it never lands.

Cut the clutter

Remove everything that isn’t the point.

Gridlines, extra decimals, rainbow palettes, the third axis, the legend you don’t need — each one competes with your message. Grey out the context, colour only what matters. The most persuasive chart is usually the one with the most removed.

Make the number human

Translate into something felt.

“A 4% shrinkage error” lands weakly. “That’s eight people missing every Monday — a fortnight of queues a year” lands hard. Convert abstract percentages into people, money, time or customer experience — the units your audience actually feels.

Honesty

Persuasive, not misleading.

Truncated axes, cherry-picked windows and hidden caveats win the meeting and lose your credibility — the planner’s most valuable asset. Tell the sharpest true story. If the data is genuinely uncertain, that uncertainty is part of the honest story, not something to airbrush.

The one-slide test

Could you make the case on a single slide?

If you had one slide and thirty seconds, what would it say? That forces the real message to the surface. Build outward from that slide — everything else is support for it, not a substitute for having one.

Make it felt

“4% shrinkage error” vs the version that lands

“Our shrinkage assumption is 4 points light” earns a nod and nothing else. Now: “That’s eight people missing every Monday morning — about a fortnight of red service across the year, and the overtime bill to match.”

Identical fact. The second one gets acted on, because it’s in people, time and money — the units an audience actually feels, not an abstract percent.

The takeaway

Do the interpreting for them.

One chart, one message, titled with the point. Lead with the conclusion, follow the setup-tension-resolution arc, cut everything that isn’t the message, and translate numbers into things people feel — truthfully. Make the data argue your case.

Now test yourself ↓

1 / 10

Slides done? Here’s the same idea in a bit more depth — the part worth keeping.

In depth: data doesn’t speak for itself

Planners swim in data and assume it’s self-evident. It isn’t. A spreadsheet asks the reader to find the point; a story hands it to them. Your job is to do the interpreting, so the audience spends its energy on the decision rather than the decoding — because a table of numbers is not an argument, it’s raw material for one.

One message, conclusion-first

The core rule is one chart, one message — if a chart needs three sentences to explain, it’s three charts, and the title should be the message (“Q4 needs 12 more FTE,” not “Headcount vs requirement”). Structure the story as setup, tension, resolution: here’s the situation, here’s the problem the data reveals, here’s what we should do — most planning decks skip the tension and leave the audience guessing why they should care. And invert the academic instinct: lead with the conclusion and follow with the evidence, because a busy audience can stop reading once convinced, and a buried punchline never lands.

Strip it, humanise it, keep it honest

Remove everything that isn’t the point — gridlines, extra decimals, rainbow palettes, the legend you don’t need — and grey out the context so you can colour only what matters; the most persuasive chart is usually the one with the most removed. Then translate the abstract into something felt: “a 4% shrinkage error” lands weakly, “eight people missing every Monday” lands hard. But persuasive is not the same as misleading — truncated axes, cherry-picked windows and hidden caveats win the meeting and lose your credibility, which is a planner’s most valuable asset. Tell the sharpest true story, and if the data is genuinely uncertain, that uncertainty is part of the honest story rather than something to airbrush.

The principle to remember: do the interpreting for them. One chart, one message, titled with the point; lead with the conclusion; cut everything that isn’t the message; and translate numbers into things people feel — truthfully.

Quick quiz

Five questions. Pick an answer to each, then check your score.

1. What’s the ‘one chart’ rule?

If a chart needs three sentences, it’s three charts — and the title should be the message.

2. What do most planning decks leave out of the narrative arc?

Setup → tension → resolution; skipping the tension means the audience never feels the problem.

3. How should you order a business message?

A busy audience can stop once convinced — don’t bury the punchline.

4. What makes a number land harder?

‘4% shrinkage error’ is weak; ‘eight people missing every Monday’ is felt.

5. What’s the line on persuasive vs misleading?

Credibility is the planner’s most valuable asset — persuade with the truth, including real uncertainty.