Market Validation

A minimum viable product (MVP) is the simplest version of a product that has just enough features to be used by early customers and to give validated learning for the next version (Eric Ries, The Lean Startup).

Purpose

• Test the key assumption (will customers want and pay for this?) at low cost and time.
• Collect real user data before investing in full development.
• Reduce the risk of building something nobody needs.

Types of MVP

• Landing-page MVP: a page describing the product with a sign-up or pre-order button.
• Concierge MVP: the service is delivered manually to a few customers.
• Wizard-of-Oz MVP: the user sees an automated product, but humans work behind it.
• Single-feature MVP: only the one core function is built.
• Explainer video / pre-sales: demand tested before building.

Build-Measure-Learn

   Build MVP --> Measure --> Learn
       ^                       |
       +----- Pivot/Persevere -+

MVP vs prototype

Answer: An MVP is the smallest usable offering that tests customer demand; it differs from a prototype because it is aimed at the market, not at design feasibility.

A pilot test is a small-scale, time-limited launch of the product or service in a selected market to check how it performs in real conditions before full launch.

Steps

1. Set clear goals and measures (sales, repeat purchase, complaints, delivery time, cost per order).
2. Choose a representative customer group, area and duration (for example 100 customers for 8 weeks).
3. Run the pilot with real price, real delivery and real support.
4. Collect data: sales records, surveys, interviews, usage logs, returns.
5. Analyse results against targets.
6. Decide: scale up, modify (pivot), or stop.

Using the feedback

• Fix product defects and missing features.
• Adjust price, packaging or service process.
• Improve the marketing message and choice of channels.
• Update cost and demand forecast in the business plan.
• Estimate working capital for full roll-out.

Answer: A pilot is a controlled small launch; its measured results decide whether to scale, modify or stop.

Given

Material = Rs 120, labour = Rs 40, fixed overhead = Rs 6,00,000, output = 10,000 bags, mark-up = 35%, VAT = 13%.

(a) Selling price before tax

Overhead per bag:

$$\frac{6{,}00{,}000}{10{,}000} = \text{Rs } 60$$

Full cost per bag:

$$120 + 40 + 60 = \text{Rs } 220$$

Selling price with 35% mark-up:

$$220 \times 1.35 = \text{Rs } 297$$

(b) Price paid by the customer

$$297 \times 1.13 = \text{Rs } 335.61$$

(The VAT of Rs 38.61 is collected for the government, not income of the startup.)

(c) Other pricing methods

• Competition-based pricing: price set near rival prices.
• Value-based pricing: price set by the worth customers see in the product.
• (Also: penetration pricing, skimming, freemium.)

Note that the cost per bag of Rs 220 holds only if 10,000 bags are sold; at lower volume the overhead per bag rises.

Answer: Selling price = Rs 297 per bag; with 13% VAT the customer pays Rs 335.61.

Definitions

• TAM (Total Addressable Market): total demand for the product if every possible customer bought it.
• SAM (Serviceable Available Market): the part of TAM the startup can reach with its product, location and channels.
• SOM (Serviceable Obtainable Market): the share of SAM the startup can realistically win in the near term.

+-----------------------------+
| TAM                         |
|   +---------------------+   |
|   | SAM                 |   |
|   |    +-----------+    |   |
|   |    |    SOM    |    |   |
|   |    +-----------+    |   |
|   +---------------------+   |
+-----------------------------+

Bottom-up calculation

Households in target cities = 12,00,000.

Serviceable households (SAM customers):

$$1{,}200{,}000 \times 0.35 = 420{,}000$$

SAM in rupees:

$$420{,}000 \times 1{,}800 = \text{Rs } 75.6\text{ crore}\ (\text{Rs } 756\text{ million})$$

Obtainable customers (SOM):

$$420{,}000 \times 0.04 = 16{,}800$$

SOM in rupees:

$$16{,}800 \times 1{,}800 = \text{Rs } 3.024\text{ crore}\ (\text{Rs } 30.24\text{ million})$$

Bottom-up estimates (customers x price) are preferred to top-down percentages because they rest on checkable assumptions.

Answer: SAM = 4,20,000 households = Rs 75.6 crore per year; SOM = 16,800 customers = Rs 3.02 crore per year.

Every business plan rests on assumptions: beliefs not yet proven, such as "customers will pay Rs 500", "we can acquire a customer for Rs 100", or "suppliers will deliver weekly". Most startups fail because an untested assumption was wrong, so testing them early saves money and time.

Process

1. List assumptions about customer, problem, solution, price, channel, cost and regulation.
2. Rank them by two factors: how critical to the business, and how uncertain. The assumptions that are high on both are the riskiest.
3. Design the cheapest experiment for each: interview, survey, landing page, pre-order, smoke test, pilot.
4. Define success in numbers before the test (e.g. at least 10% of visitors leave an email).
5. Run, measure, and decide: validate, modify (pivot) or drop.

Example

A fresh-juice startup assumes office workers will pay Rs 150 daily. It sets up a stall near two offices for two weeks and counts repeat buyers. Fewer than expected repeat buyers shows the price or taste assumption is wrong, and the plan is changed before opening shops.

Answer: List assumptions, rank by criticality and uncertainty, test the riskiest cheaply with numeric success criteria, then validate, pivot or stop.