Angel investors
What downside scenarios should an angel investigate for a consumer product startup?
a consumer product startup: Investigate downside through concrete failure paths and dependencies rather than a generic risk list.
Investigate downside through concrete failure paths and dependencies rather than a generic risk list. Customer loss, technical failure, financing delays, team capacity, and external requirements may interact. Do not assume a downside scenario has a known probability.
Start with the decision
Choose several conditions that would invalidate the current plan and trace their consequences. Ask what the team could observe early and what responses are feasible. Keep total loss among the possible outcomes of a startup investment.
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 company offers a paid learning app. Early signups followed a launch promotion, and the founder is testing whether users return without discounts. Marketing, support, and content costs vary across cohorts.
A download or free trial does not establish retention or willingness to pay. Separate acquisition cohorts, renewal behavior, refunds, and incentives before extrapolating growth.
Turn the scenario into an evidence decision
Consider a review of a consumer product 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 consented aggregate cohort data, paid renewals, acquisition spending, refunds, and changes in the product experience. Keep sponsored or incentivized usage 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 scenario exercise helps structure inquiry without predicting an outcome. It is most useful when it reveals a decision or missing evidence, not when it assigns unsupported probabilities to make uncertainty look measured. 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 assumption could fail? |
| Case-specific constraint | A download or free trial does not establish retention or willingness to pay. Separate acquisition cohorts, renewal behavior, refunds, and incentives before extrapolating growth. |
| Record to inspect | Inspect consented aggregate cohort data, paid renewals, acquisition spending, refunds, and changes in the product experience. Keep sponsored or incentivized usage visible. |
| Comparison to preserve | Compare continued paid use with the initial launch spike. A narrow engaged cohort can be more informative than a large blended signup total. |
| Unresolved case question | Who renews without a discount? |
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 assumption could fail?
- What consequence follows?
- What early signal exists?
- What response is feasible?
- Which dependency cannot be controlled?
Questions specific to this scenario
- Who renews without a discount?
- Which acquisition cohort is comparable?
- What happens after the promotion ends?
Inspect consented aggregate cohort data, paid renewals, acquisition spending, refunds, and changes in the product experience. Keep sponsored or incentivized usage visible.
A concrete next test
Compare a launch-promotion cohort with a later group using the same renewal and refund definitions. Ask what changed in price, acquisition channel, and product experience. Avoid attributing a blended retention change to the product before checking those differences.
Interpret the result
A scenario exercise helps structure inquiry without predicting an outcome. It is most useful when it reveals a decision or missing evidence, not when it assigns unsupported probabilities to make uncertainty look measured.
Compare continued paid use with the initial launch spike. A narrow engaged cohort can be more informative than a large blended signup total.
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.