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Source: Toy Story
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Don't let low-order stats fool you...
Source 1; Source 2; Original source
- Back up file for this chart

Source

Source

All have same correlation and same variance

https://twitter.com/samuelgil/status/1487823692566564871?s=20&t=Lh_TQuYEdHHpLanh4ycllQ


π Key considerations
| 1οΈβ£ Metrics are important since they enable investors and entrepreneurs to | - Track the health and growth of the business
- Support (substantiate, actually) decision-making
- Communicate among themselves and with other stakeholders
- Benchmark their performance |
| --- | --- |
| 2οΈβ£ Relevant considerations | - If you want to improve something, start from tracking it (well)
- The metric and systematic approach you use clearly affects what you see
- It's much easier to measure quantity (e.g. website visitors), than quality (super fans)
- In general: what is tough to measure, is tough to manage - John Doerr
- Being (very) wrong in calculating metrics = bad decision making and poor transparency β we will focus a bit on this |
| 3οΈβ£ Unit Economics are specially relevant since they: | - Mirror & summarize the drivers that allow to understand and optimize operations
- Provide the most reliable inputs for forecasting & planning
- Show more clearly when a business is unprofitable and cannot (shouldn't) be scaled |
| 4οΈβ£ Traditionally, metrics must be: | - Precise: calculations and understanding must be documented and shared
- Realistic: a good trade off between ambition and motivation
- Time-specific: temporally bound
- Actionable: focused on an action
- Measurable: thus, avoid directional indicators that can't be measure and tracked
- Accesible: people must be able to understand how to read them and have ready access to latest data
- Challenging (but again, realistic) |
| 5οΈβ£ But its even better when they are: | - Breakable: into smaller pieces, subsets that are relevant for individuals and teams (ideally have a map of KPIs)
- Benchmarkable: (internally: vs. oneself; & externally: vs. competitors)
- Auditable: an skeptic must be able to check how the metrics were produced
- Oriented towards next stages: in terms of funding, sales (...)
- Few, & relevant: to avoid noise γ°οΈ
Most KPIs and Metrics are standardized and meet the above-mentioned requirements |
β
Reason by analogy, noy only by data |
β
If you could focus on only one metric to guide your life,Β what would it be? |
π¨ Cheat Sheets
π’ Key startup metrics
1. Unit Economics
2. Revenue & Growth
3. Acquisition
4. Activation
5. Referral
6. Engagement
7. Retention
8. Other metrics
π (Classic) Financial metrics
π§βπ§ (Classic) Business KPIs
π¨βπ¨βπ§βπ§ (Classic) People Metrics
π Benchmarks

πΊοΈ Relevant frameworks
π― Other considerations & Readings
Traditional SaaS Metrics may not be as meaningful in PLG (Product Led Growth) strategies or consumption-based models (see RGR or NGR) + see latest Openview and Battery Ventures 2021 Software Report for thoughts on this (1)
π Some people think the analyzing metrics is more art than science - tons of data are useful but noisy, and as investors we must be able to imagine the future (Aquilino PeΓ±a, retweaked)
π Growth is important, but engagement provides healthy growth (Aquilino PeΓ±a)
π Know the difference between data-informed and data-driven, metrics are a reflection of the product strategy (by Andrew Cheng)
π Unit Economics Tool for Excel and Google Sheet - by Taylor Davidson from Foresight