Numbers tell your story. Revenue growth, customer count, market size, conversion rates — these are the moments in your deck that make people lean forward or lean back. The AI already knows how to make numbers feel impactful. Your job is to tell it which numbers matter most and why.
The AI Already Handles Numbers Well
If you say "add a traction slide," the AI pulls your key metrics, chooses the right visual treatment, and presents them clearly. A single headline number gets dramatic centred treatment. Multiple metrics get a structured dashboard. Growth figures get animated counters. The AI makes these choices based on what it knows about effective data presentation.
That's often enough. But when you want a specific metric to hit harder — your fundraise amount, your growth rate, the number that closes the deal — you can steer.
Steering Data Impact
The most effective way to improve a data slide is to tell the AI what matters and how it should feel — not to specify the exact chart type.
Tell the AI which number is the star
"The MRR is the headline — everything else supports it"
"Lead with the growth rate. That's what investors care about"
"The customer count is the most impressive thing we have — make it feel that way"
The AI responds by sizing, positioning, and animating the star metric differently from the supporting data.
Describe the impression the data should create
"This should make them feel like we're growing fast and the trend is accelerating"
"The comparison with competitors should feel decisive — we're clearly ahead"
"This needs to feel trustworthy and precise — it's going to a board of directors"
"Make the fundraising progress feel exciting — we're nearly there"
The AI translates these impressions into specific visual choices: counter animations, comparison layouts, colour intensity, spacing.
Say what feels wrong
"The numbers are there but they don't feel impressive — make the growth rate hit harder"
"This is too cluttered — there are too many metrics competing for attention"
"The comparison doesn't feel decisive — our advantage should be obvious at a glance"
"This feels flat — the data should feel alive, not like a spreadsheet"
The Golden Rule: Include Your Real Numbers
The single most important thing you can do for data slides: put your actual numbers in. Don't say "show our metrics" — say "we have £240k MRR, 1,200 customers, and 34% month-over-month growth."
When the AI has real figures, it can:
- Size elements proportionally — a £5M number deserves more space than a 12% figure
- Create meaningful comparisons — your 99.9% uptime vs industry 99.5%
- Build real context — "+340% YoY" only works if it knows both numbers
- Choose the right format — large round numbers suit counters, percentages suit gauges
The AI makes better design choices with real data than with placeholders.
What the AI Can Do With Your Numbers
You don't need to specify these — the AI picks the right treatment based on your content and steering. But knowing what's possible helps you steer more effectively.
Animated Counters
Numbers that count up from zero to their final value. Viewers watch the figure climb, and the final number feels earned. The AI uses these automatically for standout metrics.
Comparison Displays
Side-by-side layouts, competitive matrices, before-and-after contrasts. The AI uses these when your content involves comparison — you vs competitors, old way vs new way, this quarter vs last.
Metric Dashboards
Multiple data points presented in a scannable format. The AI uses dashboard layouts when you have several metrics that tell a story together — a traction slide with MRR, customers, growth, and retention.
Progress Indicators
Bars, rings, and gauges that fill to show progress. The AI uses these for fundraising targets, project milestones, OKR tracking — anything with a "how far along" dimension.
Charts and Graphs
Line charts, bar charts, donut charts, sparklines. The AI uses these when the story is about trends, distribution, or change over time.
Funnels and Flows
Conversion funnels, process flows, pipeline stages. The AI uses these when your data has a sequential, narrowing structure.
Combining Data Stories
The most compelling data slides combine multiple elements — a hero number with supporting context, a counter with a trend line, a dashboard with a highlighted standout. The AI does this naturally when you give it rich data:
"Our key metrics: £2.4M ARR, 1,200 customers, 34% growth, 120% net retention. ARR is the headline."
The AI makes the ARR the hero — large, animated, prominent — and arranges the supporting metrics around it. You didn't specify the layout, the animation, or the styling. You told it what matters, and it designed around that priority.
What to Read Next
- Motion and Interaction — How motion is built into every slide and how to steer it.
- How the AI Chooses Your Layout — How content shapes the structure of your slides.
- Trusting the AI vs Taking the Wheel — When to let the AI lead and when to direct.
Numbers tell your story. Revenue growth, customer count, market size, conversion rates — these are the moments in your deck that make people lean forward or lean back. The AI already knows how to make numbers feel impactful. Your job is to tell it which numbers matter most and why.
The AI Already Handles Numbers Well
If you say "add a traction slide," the AI pulls your key metrics, chooses the right visual treatment, and presents them clearly. A single headline number gets dramatic centred treatment. Multiple metrics get a structured dashboard. Growth figures get animated counters. The AI makes these choices based on what it knows about effective data presentation.
That's often enough. But when you want a specific metric to hit harder — your fundraise amount, your growth rate, the number that closes the deal — you can steer.
Steering Data Impact
The most effective way to improve a data slide is to tell the AI what matters and how it should feel — not to specify the exact chart type.
Tell the AI which number is the star
"The MRR is the headline — everything else supports it"
"Lead with the growth rate. That's what investors care about"
"The customer count is the most impressive thing we have — make it feel that way"
The AI responds by sizing, positioning, and animating the star metric differently from the supporting data.
Describe the impression the data should create
"This should make them feel like we're growing fast and the trend is accelerating"
"The comparison with competitors should feel decisive — we're clearly ahead"
"This needs to feel trustworthy and precise — it's going to a board of directors"
"Make the fundraising progress feel exciting — we're nearly there"
The AI translates these impressions into specific visual choices: counter animations, comparison layouts, colour intensity, spacing.
Say what feels wrong
"The numbers are there but they don't feel impressive — make the growth rate hit harder"
"This is too cluttered — there are too many metrics competing for attention"
"The comparison doesn't feel decisive — our advantage should be obvious at a glance"
"This feels flat — the data should feel alive, not like a spreadsheet"
The Golden Rule: Include Your Real Numbers
The single most important thing you can do for data slides: put your actual numbers in. Don't say "show our metrics" — say "we have £240k MRR, 1,200 customers, and 34% month-over-month growth."
When the AI has real figures, it can:
- Size elements proportionally — a £5M number deserves more space than a 12% figure
- Create meaningful comparisons — your 99.9% uptime vs industry 99.5%
- Build real context — "+340% YoY" only works if it knows both numbers
- Choose the right format — large round numbers suit counters, percentages suit gauges
The AI makes better design choices with real data than with placeholders.
What the AI Can Do With Your Numbers
You don't need to specify these — the AI picks the right treatment based on your content and steering. But knowing what's possible helps you steer more effectively.
Animated Counters
Numbers that count up from zero to their final value. Viewers watch the figure climb, and the final number feels earned. The AI uses these automatically for standout metrics.
Comparison Displays
Side-by-side layouts, competitive matrices, before-and-after contrasts. The AI uses these when your content involves comparison — you vs competitors, old way vs new way, this quarter vs last.
Metric Dashboards
Multiple data points presented in a scannable format. The AI uses dashboard layouts when you have several metrics that tell a story together — a traction slide with MRR, customers, growth, and retention.
Progress Indicators
Bars, rings, and gauges that fill to show progress. The AI uses these for fundraising targets, project milestones, OKR tracking — anything with a "how far along" dimension.
Charts and Graphs
Line charts, bar charts, donut charts, sparklines. The AI uses these when the story is about trends, distribution, or change over time.
Funnels and Flows
Conversion funnels, process flows, pipeline stages. The AI uses these when your data has a sequential, narrowing structure.
Combining Data Stories
The most compelling data slides combine multiple elements — a hero number with supporting context, a counter with a trend line, a dashboard with a highlighted standout. The AI does this naturally when you give it rich data:
"Our key metrics: £2.4M ARR, 1,200 customers, 34% growth, 120% net retention. ARR is the headline."
The AI makes the ARR the hero — large, animated, prominent — and arranges the supporting metrics around it. You didn't specify the layout, the animation, or the styling. You told it what matters, and it designed around that priority.
What to Read Next
- Motion and Interaction — How motion is built into every slide and how to steer it.
- How the AI Chooses Your Layout — How content shapes the structure of your slides.
- Trusting the AI vs Taking the Wheel — When to let the AI lead and when to direct.