> For the complete documentation index, see [llms.txt](https://docs.tactyc.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tactyc.io/portfolio-management/performance-cases/best-practices-on-performance-cases.md).
# Best Practices on Performance Cases
## Approach 1: Single case with graduation rates
**Level of Effort: Low**
Build only one case and the performance risk is captured in the *graduation rates* of the forecasted rounds.
## Approach 2: Multiple cases with 100% graduation rates
**Level of Effort: Low**
Build multiple cases and the performance risk of the investment is captured in the *case probabilities* of each case.
## Approach 3: Multiple cases with custom graduation rates
**Level of Effort: High**
Build multiple performance cases and the performance risk is captured in *both the case* *probabilities and the graduation rates* within each case. This gives you the greatest control - for e.g., you may model an Upside case that has a higher likelihood of graduations than the Base case.
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