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 employment
· function size_opportunity
· clear
Where in the narrative
| analyze_data | 99 |
| diagnose | 48 |
| illustrate_case | 43 |
| front_matter | 29 |
| establish_context | 21 |
| appendix | 19 |
| recommend | 14 |
| quantify_impact | 12 |
| frame_problem | 11 |
| size_opportunity | 7 |
| benchmark_peers | 7 |
| plan_implementation | 4 |
Number shape
| plain | 216 |
| percent | 94 |
| money | 11 |
| multiplier | 3 |
7 examples
500,000
Overall, 500,000 jobs are under pressure in France, representing $115B in GDP
“Our restructuring pressure is calculated based primarily on public companies. To estimate the broader impact on GDP and jobs, we extrapolated these findings to …”
460
Generative AI will have a significant impact across all industry sectors
90,000
The tourism sector employs 90,000 people in the hotels and restaurants sector alone
“Used as a proxy to estimate the number of people employed in tourism; actual number is possibly greater but no official data exists”
1,156M
All countries could be impacted by automation
222k
C/C economy employs around 222k in Victoria
“Victoria has 29% of national jobs in C/C economy, 31% of C/C industries”
45k
Production related activities are also an important source of jobs in NYC, employing over 45k¹ additional people
“Production related jobs grew 11% over the period...”
86
“For the majority of organisations, headcount is either static (44%) or increasing (40%), with only 16% seeing a decrease.”