Metrics
What numbers consultants lead with.
Every slide that foregrounds a metric — 7,750 in total — classified into families by what's being measured. Drill in to see who uses each family, where in the narrative, and the real examples.
Metric families
7,750 metric-led slides1266
Survey & sentiment
What people said — respondents, priorities, sentiment, NPS.
16.3%
1110
Market size & value
Scale of the pool — TAM, GMV, AUM, deal value, investment, funding.
14.3%
709
Cost & savings
What's spent or saved — costs, spend, savings, efficiency, abatement.
9.1%
541
Share & penetration
Piece of the pie — market share, adoption, penetration, uptake.
7.0%
491
Growth rate
Speed of change — CAGR, YoY, growth rate.
6.3%
261
Rates & ratios
Other rates — retention, conversion, representation, distress.
3.4%
324
Employment & headcount
People at work — employees, FTEs, productivity, jobs.
4.2%
226
Indices & scores
Composite indicators — confidence indices, rankings, ratings.
2.9%
218
Margin & return
Economic quality — margins, ROI/ROE/ROIC, TSR, profit.
2.8%
212
Environment & emissions
Green metrics — GHG, emissions, hydrogen, renewables.
2.7%
187
Volume & counts
Raw counts — number of X, transactions, deals.
2.4%
141
Revenue & sales
Top line — revenue, sales, GVA.
1.8%
76
Macro indicators
Economy-wide signals — inflation, unemployment, PMI.
1.0%
23
Valuation
Asset worth — present value, pre-money, exit value.
0.3%
1965
Other
Domain-specific or uncategorized long-tail.
25.4%
Filtered by market_size
· number kind multiplier
· clear
Where in the narrative
| analyze_data | 443 |
| size_opportunity | 123 |
| establish_context | 102 |
| diagnose | 81 |
| quantify_impact | 66 |
| frame_problem | 58 |
| recommend | 57 |
| illustrate_case | 55 |
| benchmark_peers | 43 |
| transition | 18 |
| prioritize | 10 |
| plan_implementation | 10 |
Number shape
| money | 447 |
| plain | 372 |
| percent | 283 |
| multiplier | 7 |
| other | 1 |
7 examples
16x
The GDP benefit of faster broadband is up to 16x greater in remote areas and 2x greater in regional areas, compared to major cities
“Lower starting speeds and the impact of diminishing marginal returns. The productivity gains for every additional 1 Mbps speed increase in speeds are larger whe…”
2X
All sectors are booming, led by e-commerce which grew 2X
“All sectors are booming, led by e-commerce which grew 2X”
8x
EXHIBIT 17: DF9 scaled investments by 4x in previous technology wave, while the AI wave will likely require ~8x
“Capturing the economic impact will likely take time and require significant investments.”
86x
Angel investment is growing but still little developed
“Brazil / USA investment gap”
2x
Moreover, GDP per capita would grow by 2x versus its status quo GDP per capita
“Moreover, GDP per capita would grow by 2x versus its status quo GDP per capita”
3X
Government stimulus packages on top of growing statist sentiments and free-market backlash may lead to regulatory shifts
“Regulatory uncertainty may require corporate adaptability to manage this complexity”
9x
“Economic research suggests that relevant human capital investments, like training, should exceed technology investments by as much as nine-fold.”