Worked Examples¶
Narrative step-by-step valuation walkthroughs using real startup scenarios. Each example follows a standard 6-section format.
Template Format¶
# Worked Example: [Title]
> Method: [Method Name] | Module: `[module].py` | Textbook: Chapter [N], Section [N.N]
## 1. Business Context
**The Situation:** [2-3 sentences: who, what stage, what they need]
**The Question:** [1 sentence: what are we calculating?]
**The Approach:** [1 sentence: which method and why]
## 2. Data Preparation
[All input data with sources and justifications. Tables preferred.]
## 3. Method Selection
[Why this method over alternatives. What assumptions make it appropriate.]
## 4. Step-by-Step Calculation
[Show each calculation step with intermediate values. Include Python code.]
### Step 1: [Name]
### Step 2: [Name]
[Final result displayed prominently]
### Python Implementation
[Complete, copy-pasteable code block with imports and output]
## 5. Sensitivity Analysis
[Test extremes. What happens if key inputs change? Use a table.]
## 6. Interpretation
**For the founders:** [What does this valuation mean for equity, fundraising?]
**For investors:** [Is the valuation justified? What are the risks?]
**What this valuation means:** [Actionable takeaway]
## Next Steps
- [Link to related methods]
- [Link to Wiki theory page]
- [Link to full workflow]
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*Example uses hypothetical data for illustrative purposes. All formula implementations verified against the Startup Valuation textbook.*
Existing Examples¶
| Example | Method | Module |
|---|---|---|
| Valuing a Pre-Revenue SaaS Startup | Scorecard Method | core.py |
Contributing¶
To add a new worked example:
1. Copy the template above
2. Fill in all 6 sections
3. Use real (or realistic) numbers with stated sources
4. Include copy-pasteable Python code that produces the stated result
5. Ensure all formula values match textbook examples (run pytest to verify)
6. Link to the relevant Wiki theory page and API docs