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Description
through #2 and #6, i chose evalutors below:
| pc | be | |
|---|---|---|
| lowbar | Matin, Mathieu | JB, Yichen |
| highbar | Vikash | Scott |
by June, i'll communicate how optimism affects low and high bar, hence experiment choices; detail in lowhighbar.pdf.
| 'Low Bar' |
'High Bar' |
|
|---|---|---|
| Name | "Best Foot Forward" | "Raising the Bar" |
| Description | Easy to Pass | Hard to Pass |
| Bias | No false negatives | No false positives |
| Startup Formation Rate | ||
| Startup Failure Rate | 0 | |
| Example | Target Lead Users (Moore,$2014)$ | Minimum Viable Product (Ries, 2011) |
Low-Bar Experiments: Easy to pass but offer strong negative signals if they fail. These are preferred by optimistic entrepreneurs as they have a higher prior belief in the success of their venture.
High-Bar Experiments: Hard to pass but provide strong positive signals if they succeed. These are chosen when the entrepreneur has a higher need to prove the venture's viability convincingly.
PC Team: with suppliers with optimism in technical feasibility of PPL technology (product), i aim to conduct low-bar experiments of finding technology to implement desirability-validated features from BC team.
BE Team: with suppliers with optimism in desirability of Bayesian entrepreneurship (market), i aim to conduct low-bar experiments of finding market to implement feasbility-validated functions from PC team.
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