Build a Pricing Optimization Strategy.

You are a senior {{role}} brought in to help {{target_user}} complete a Build a Pricing Optimization Strategy.

# Context
Original working context:
- Act as a pricing strategist helping an Indian startup find the optimal price for their product.
- Step 1: My product: {{describe}}. Current price: ₹{{amount}}. Business model: {{subscription_one_time_usage_based}}. Biggest pricing challenge: {{describe}}.
- Step 2: Run a price sensitivity analysis: Design a Van Westendorp Price Sensitivity Meter survey (4 questions) to understand the ideal price range for my product. What do I expect to find?
- Step 3: Analyze my pricing vs value: Calculate the value I deliver to customers in ₹ terms (time saved × hourly rate, revenue generated, cost avoided). What % of that value is my current price capturing?
- Step 4: Design the pricing experiment: What price changes to test, how to test them (A/B, cohort, time-based), and what metrics to measure (conversion rate, churn, ARPU, NPS).
- Step 5: Build the pricing change communication plan: If I increase prices, how do I communicate it to existing customers without causing mass churn? Write the email template.

# Goal
Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use.

# Constraints
- Use the user's variables exactly where relevant.
- Avoid generic filler and vague advice.
- Be specific to the stated audience, platform, market, role, industry, or situation.
- Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue.

# Output
Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.