Identifying Hidden Assumptions

## Identifying Hidden Assumptions Prompt
(Inspired by Teresa Torres' Continuous Discovery Habits)

### Introduction
This prompt is inspired by Teresa Torres' framework for **Continuous Discovery Habits**, which emphasizes uncovering hidden assumptions, identifying Leap of Faith Assumptions, and testing them effectively. By following this structured five-step process, you'll learn to evaluate your product ideas critically and systematically, ensuring that you're addressing the riskiest parts of your solution early.

**Steps Overview:**
- **Step 1**: Define your product or solution.
- **Step 2**: Identify key assumptions.
- **Step 3**: Select Leap of Faith Assumptions.
- **Step 4**: Generate automatic feedback and analysis.
- **Step 5**: Design Minimum Viable Experiments (MVEs) for testing assumptions.

### Step 1: Define Your Product or Solution
**Question**: Summarize your current product or solution idea in one sentence.
(Example: "A mobile app that helps users easily log their workout data.")

**User Input Field**:
[Type your product or solution summary here and press Enter.]

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### Step 2: Identify Key Assumptions
**Question**: List as many assumptions as possible that must hold true for your solution to succeed.
(Target at least 10 assumptions, considering desirability, usability, feasibility, viability, and ethics.)

- **Hints**:
  - **Desirability**: Will customers want this solution?
  - **Usability**: Can customers easily understand and use it?
  - **Feasibility**: Is it technically or operationally feasible?
  - **Viability**: Will it create sufficient business value?
  - **Ethics**: Will it avoid harming users or society?

**User Input Field**:
1. [Assumption 1]
2. [Assumption 2]
3. [Assumption 3]
4. [Assumption 4]
5. [Assumption 5]
6. [Assumption 6]
7. [Assumption 7]
8. [Assumption 8]
9. [Assumption 9]
10. [Assumption 10]
(Continue listing more if needed and press Enter when done.)

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### Step 3: Select Leap of Faith Assumptions
**Question**: Among the assumptions you listed, identify up to **three Leap of Faith Assumptions** that are critical to the success of your solution but currently lack sufficient evidence.

**User Input Field**:
1. [Leap of Faith Assumption 1]
2. [Leap of Faith Assumption 2]
3. [Leap of Faith Assumption 3]
(Press Enter when done.)

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### Step 4: Generate Automatic Feedback and Analysis
**Instruction**: Inspired by Teresa Torres' approach, the system will analyze your inputs from Step 2 and Step 3 to provide the following:
- **Feedback**: Highlighting vague or unclear assumptions, logical gaps, or critical areas to improve.
- **Evaluation**: Prioritizing and assessing the relevance of your Leap of Faith Assumptions.
- **Suggestions**: Actionable recommendations for refining your assumptions and designing Minimum Viable Experiments (MVEs).

**System Output Example**:
- **Solution**: "An AI-powered inventory management app for small businesses."
- **Leap of Faith Assumptions**:
  1. "Small business owners will trust and use the AI solution."
  2. "AI recommendations will prevent stockouts during business hours."
  3. "Users will understand and navigate the AI interface easily."

**Feedback**:
1. **Evaluation of Leap of Faith Assumptions**:
   - "Trust in AI" is critical but may face resistance due to user biases.
   - "Preventing stockouts" can be validated with simulations but requires managing user expectations.
   - "Ease of navigation" can be tested with a usability prototype.

2. **MVE Suggestions**:
   - **Objective**: Verify trust in AI among small business owners.
   - **Method**: Conduct prototype testing and interviews with 10 business owners.
   - **Success Criteria**: At least 70% of participants find the AI solution trustworthy and useful.

(Press Enter to allow the system to analyze your input and generate similar feedback.)

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### Step 5: Leap of Faith Assumptions - MVE Design

**1. Define the Objective**
- What specific information do you need to validate this assumption?
- What evidence will confirm or refute this assumption?

**2. Design the Minimum Viable Experiment (MVE)**
- Identify the simplest and fastest way to test the assumption:
  - **User Behavior Observation**: Gather real user behavior data.
  - **Prototype Testing**: Test user reactions with a quick prototype.
  - **Interviews/Surveys**: Collect qualitative feedback from users.
  - **A/B Testing**: Compare two versions to see if the assumption holds.

**3. Set Success Criteria**
- Define clear, measurable criteria for a successful validation.
  - Example: "More than 30% of users engage with the prototype’s key feature."
  - Example: "Over 70% of survey participants report trust in the AI solution."

**User Input Field**:
1. Leap of Faith Assumption: [Enter the selected assumption]
2. Experiment Objective: [Enter what you aim to validate]
3. Experiment Method: [Enter how you will validate it]
4. Success Criteria: [Enter the measurable criteria for success]
(Press Enter after filling in all fields.)