Angel investors
How should an angel examine early traction claims from a climate software startup?
a climate software startup: Examine traction metrics through their definition, denominator, period, and supporting records.
Examine traction metrics through their definition, denominator, period, and supporting records. A growth percentage can describe a tiny base or a changing cohort. Bookings, cash collected, revenue, active use, and pipeline should not be treated as interchangeable.
Start with the decision
Reconstruct a small sample from the underlying records when authorized. Ask about exclusions, refunds, services, incentives, and changed definitions. Have the finance owner or an independent specialist address formal accounting questions.
The illustrative scenario
This is an educational workbook. The company or fund and all numerical inputs below are fictional. They are not ADIN results, customer claims, market benchmarks, or a forecast.
The fictional product helps building operators reconcile energy data. A facilities team uses the dashboard, while a finance manager approves spending. Deployments depend on meter access and consistent records across properties.
A claimed environmental benefit is different from a measured change attributable to the product. Separate data quality, operational action, and any externally verified result.
Turn the scenario into an evidence decision
Consider a review of a climate software startup in which a confident explanation arrives before the supporting records. Start with the first question in the table. Write down what an answer would change: the next interview, the experiment's scope, a request for specialist review, or a decision to wait. A question without a consequence can produce a longer document while adding little understanding.
Next, inspect the record named in the table and record its date, owner, permission boundary, and limitations. Inspect permissioned meter samples, installation requirements, operator references, and the method used for claimed savings. Keep comparison periods and missing readings visible. If the record contradicts the explanation, preserve both accounts and ask which definition, period, or workflow differs. Do not silently select the version that makes the opportunity look strongest.
Finish with a conditional statement: if the specified evidence supports the claim under these conditions, take the named next step; otherwise investigate the unresolved question. A metric is useful when it answers a relevant question and can be interpreted consistently. A precise number with an unclear definition can create more confidence than the evidence warrants. This worked exercise is about the decision process. It does not assert that a fictional company has met a real diligence standard or that a template can authorize an investment.
| Item | Illustration |
|---|---|
| Decision question | What is the metric definition? |
| Case-specific constraint | A claimed environmental benefit is different from a measured change attributable to the product. Separate data quality, operational action, and any externally verified result. |
| Record to inspect | Inspect permissioned meter samples, installation requirements, operator references, and the method used for claimed savings. Keep comparison periods and missing readings visible. |
| Comparison to preserve | Compare the full deployment process with the operator's current reporting. A useful dashboard still needs someone able to act on its findings. |
| Unresolved case question | Who supplies reliable data? |
Use this worksheet
Answer the questions with a source, date, owner, and next action. Mark an unknown as unknown. Use public or permissioned information and involve a qualified specialist when a question requires expertise beyond the team’s competence.
- What is the metric definition?
- What is the denominator?
- Which period is covered?
- What was excluded?
- Can the figure be reconciled?
Questions specific to this scenario
- Who supplies reliable data?
- Which savings are actually measured?
- How long does a property rollout take?
Inspect permissioned meter samples, installation requirements, operator references, and the method used for claimed savings. Keep comparison periods and missing readings visible.
A concrete next test
Trace one claimed operational saving from raw meter data to a documented action and comparison period. Ask which part is measured and which part is inferred. Keep missing readings and unrelated changes visible before using the claim in an investment discussion.
Interpret the result
A metric is useful when it answers a relevant question and can be interpreted consistently. A precise number with an unclear definition can create more confidence than the evidence warrants.
Compare the full deployment process with the operator's current reporting. A useful dashboard still needs someone able to act on its findings.
Sources and method
These primary resources provide background for the concepts. The fictional scenario, calculations, and worksheet are ADIN educational examples; the sources do not report or validate those invented results. Reviewed October 11, 2026.