BOOK REVIEW · MEASUREMENT
Lean Analytics
In short: the best book on what to measure at each stage of a startup. Its “One Metric That Matters” discipline cuts through dashboard noise, and its stage-by-stage models keep teams honest about the number that counts right now.
What it covers.
Croll and Yoskovitz map the metrics that matter across business models (SaaS, marketplace, ecommerce, media) and growth stages, anchored by the One Metric That Matters.
- The One Metric That Matters
- Metrics by business model
- Stages: empathy to scale
- Good vs vanity metrics
- Benchmark lines to aim for
- Building a data-driven culture
Who it’s for.
Founders, growth leads, and analysts at startups and scaleups. Less essential for large-enterprise measurement, but the focus discipline applies everywhere. Investors and operators reviewing a startup’s metrics will also find it a useful lens for spotting vanity dashboards.
Evergreen
- One Metric That Matters
- Stage-appropriate metrics
- Vanity-metric detox
- Model-specific KPI maps
Read with a 2026 eye
- Some 2013 benchmark numbers
- Startup examples have aged
Key ideas worth stealing.
“One Metric That Matters” forces a team to agree the single number that defines this stage — the cure for dashboard paralysis.
Mapping metrics to business model prevents the classic error of importing SaaS metrics into an ecommerce business.
How it reads.
Practical and example-rich, structured as a workbook you act on rather than just read.
The RGM verdict.
A practical antidote to measuring everything and acting on nothing. The OMTM discipline alone is worth the read. Pair with RGM’s MER guide. The book pairs especially well with a real calculator — model your OMTM, do not just admire it.
The frameworks outlast the specific benchmark figures; use the latest data for the numbers.
Asked & answered.
What is the One Metric That Matters?
Lean Analytics’ core idea: at any given stage, focus the whole team on the single metric that most defines success right now, rather than tracking dozens at once.
Who should read Lean Analytics?
Founders, growth and product leads, and analysts — especially at startups and scaleups deciding what to measure as they grow.
Is Lean Analytics still relevant?
Yes — the frameworks for choosing metrics by model and stage are evergreen, even though some 2013 benchmark numbers have shifted.