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Idea Validation in 2 Weeks: Turn Assumptions into Go/No-Go Data

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Idea Validation in 2 Weeks: Turn Assumptions into Go/No-Go Data

詳細説明

You've pitched your idea to investors or your team, but you're still guessing whether customers actually want it. Without real validation data, you risk burning months and capital on the wrong direction. Repi transforms your idea into testable hypotheses, guides you through building a minimal MVP and landing page, and collects objective customer signals so you can decide whether to scale or pivot—not hope.

When you need this:

  • You have a business idea but no proof customers will pay
  • You're about to invest time/money and need a reality check first
  • You've launched but don't know which direction to take next
  • Your team disagrees on whether the idea is viable

What you get:

  • Hypothesis framework: Convert your idea into 3–5 falsifiable assumptions (e.g., "20% of target users will click the signup button")
  • MVP scope guide: What to build, what to skip, and why—in 1–2 weeks
  • Landing page template: Copy, layout, and CTA designed to measure interest
  • Data collection checklist: Which metrics matter, how to track them, red flags to watch
  • Go/No-Go decision framework: Clear thresholds (e.g., "If signup rate < 5%, pivot")

How it works:

  1. You describe your idea and target customer in 2–3 sentences
  2. Repi asks clarifying questions to surface hidden assumptions
  3. You receive a hypothesis sheet and 2-week validation sprint plan
  4. You build and launch (Repi provides templates and checklists)
  5. You report back with data; Repi helps you interpret results and decide next steps

What to know:

  • This is not a business plan generator—it's a validation accelerator
  • Results depend on your execution; Repi guides the process, you do the work
  • Best for early-stage ideas; works for B2B, B2C, and marketplace concepts
  • Assumes you can reach at least 50–100 potential customers in 2 weeks

こんな場面で活用できます

1

Ji-Won Park

Three months ago, I quit my job and have been working on a SaaS idea. I have an investor meeting in two weeks. I think the idea is good, but I have no data to prove customer demand, so I cannot speak confidently in front of investors. Within two weeks, I need to create at least evidence that 'customers are actually experiencing this problem.'

ユーザーの質問

How can I validate customer demand for the idea I'm working on? What method would be most effective?

XAGTの実際の回答

To validate customer demand, you can use the following methods:

Current Objective

Establish effective methods for validating customer demand.

Core Question

Do customers actually have this problem?

Action Items:

  • Define the riskiest assumption: The riskiest assumption is confirming whether customers are actually experiencing this problem.
  • Design an MVP: Design a minimum viable product (MVP) to measure customer response. Through a landing page MVP, you can present your value proposition and generate interest.
  • Customer interviews: Conduct interviews with early customers to deeply understand their problems and needs.

Data Requirements

  • Data on whether customers recognize the problem and their willingness to solve it
  • Behavioral metrics such as landing page visitors, clicks, and form submissions

Lepy's Assessment: The first step in validating customer demand is confirming whether customers actually have the problem. To do this, it is important to measure customer response through an MVP and gain deep insights through interviews with early customers.

Ji-Won Park gains a concrete validation roadmap—customer interviews, landing page MVP, and key metrics to track—to demonstrate real customer demand to investors in two weeks.

2

Min-Su Kim

A startup team is divided on the direction of a new feature. The CEO wants to build Feature A first, but you believe Feature B better matches customer needs. You need to validate which is correct using actual customer feedback, not assumptions, within one week.

ユーザーの質問

How can we effectively collect customer feedback? We want to understand the preference between Feature A and Feature B.

XAGTの実際の回答

To effectively collect customer feedback, consider the following approach:

Current Goal

Understand customer preferences regarding Feature A and Feature B.

Core Question

How can we measure customer preferences for Feature A and Feature B?

Action Items:

  • Survey Design: Create a survey asking customers about their preferences for Feature A and Feature B. Explain the strengths and weaknesses of each feature, and have customers choose which feature they prefer more.
  • User Interviews: Conduct direct interviews with customers to collect in-depth opinions on Feature A and Feature B. During this process, ask customers how they would use each feature and which aspects they find more useful.

Data Requirements

  • Survey response data that can capture customer feedback
  • User interview records and analysis results

Repy's Assessment: In the process of collecting customer feedback, it is important to secure both quantitative and qualitative data through surveys and user interviews. Through this, you can clearly identify the preferences for Feature A and Feature B and gain insights necessary for future product improvements.

Min-Su Kim gathered customer feedback through surveys and user interviews within one week, enabling the team to make a data-driven decision between Feature A and Feature B based on actual customer preferences rather than assumptions.

3

Su-Jin Lee

I have an online course idea that I started as a side business, and I've already created a basic website for it. However, I have no idea who actually wants to buy this course or what the appropriate price would be. Before starting full-scale marketing next month, I want to collect at least 50 signals of interest within 10 days to finalize my direction.

ユーザーの質問

How can I find out which people would find my idea most useful?

XAGTの実際の回答

Defining Target Customers for Your Idea's Value

[Guidelines to follow — applied when producing results]

  • Do not replace professional consultation in investment, legal, or tax matters, and provide guidance to connect with experts and support institutions (for example: pre-startup package counters) at appropriate times.
  • Do not use guaranteed outcome language such as 'will definitely succeed' or 'will be a huge hit.'
  • Do not interpret pre-application or sign-up numbers as product-market fit (PMF), and explicitly state that actual usage, repeat visits, and payment intent require separate validation.

Current Goal: Define the target customers who would find value in your idea
Core Question: What problem is your idea trying to solve, and who are the people experiencing that problem?
Action Items:

  • Collect opinions from people actually experiencing the problem through customer interviews.
  • Define the characteristics of customers experiencing the specific problem and analyze their behavior patterns.
    Data Requirements:
  • Customer interview results
  • Characteristics and behavioral data of customers experiencing the problem

Repy's Assessment: It is important to define the customer's problem and specifically identify the people experiencing that problem. Through this process, you can clearly set your target customers and collect appropriate data during the subsequent validation phase.

Su-Jin Lee identified the specific problem her course solves and discovered which customer segments experience that problem through targeted interviews, enabling her to validate her target audience before scaling marketing efforts.

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Idea Validation in 2 Weeks: Turn Assumptions into Go/No-Go Data — XAgentStore