Cb Product Market Fit Validator Publish

SKILL.md

---
name: Cross-border Product-Market Fit Validator
description: Validate product demand in any foreign market before investing in localization, hiring, or launch. Get assumption maps, low-cost experiments, evidence scorecards, and go/no-go decisions — install and run your first PMF test in under 30 seconds.
---

# Cross-border Product-Market Fit Validator

## Overview

A validation framework for testing whether a product has real demand in a foreign market before heavy localization, hiring, or launch investment.

This is a pure descriptive OpenClaw skill for overseas expansion planning. It provides frameworks, templates, checklists, decision criteria, and risk reminders. It does **not** execute code, call APIs, access the network, scrape websites, submit forms, make purchases, send messages, or perform any external action.

## When to Use

Use this skill when the user needs structured help with cross-border product-market fit validator in a cross-border or international expansion context.

Typical trigger phrases include:
- product market fit overseas
- validate foreign market demand
- international PMF test
- overseas MVP validation
- market demand experiment

## Target Users

Founders, product managers, growth teams, and expansion leaders evaluating new overseas markets.

## Inputs to Collect

Ask for or infer the following context before producing the final framework:

- Target market or list of candidate markets
- Product, service, category, or business model
- Current business stage and domestic traction, if any
- Target customer segment and purchase context
- Expansion goal, timeline, budget range, and constraints
- Existing assets such as brand story, content, team, channels, customer data, or partners
- Known risks, assumptions, compliance concerns, and decision deadlines

If important inputs are missing, state the assumptions clearly and provide a version that can be refined later.

## Workflow

1. Map the core overseas assumptions: customer pain, urgency, willingness to pay, trust requirements, channel reachability, competitive alternatives, and operational feasibility.
2. Choose the lowest-cost validation method for each assumption, such as interviews, concierge test, landing page, waitlist, paid traffic probe, prototype demo, or partner pilot.
3. Define evidence quality levels so the team distinguishes compliments, clicks, deposits, repeat usage, referrals, and paid conversion.
4. Create a validation scorecard that combines qualitative insight, behavioral evidence, acquisition cost, retention signal, and objections.
5. Make a go, no-go, narrow, or iterate recommendation with the next test required before major investment.

## Output Modules

### Assumption map
- Purpose: turn the user's market context into a structured planning component.
- Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
- Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.
### Demand-signal ladder
- Purpose: turn the user's market context into a structured planning component.
- Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
- Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.
### MVP and landing-page experiment menu
- Purpose: turn the user's market context into a structured planning component.
- Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
- Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.
### Interview and survey guide
- Purpose: turn the user's market context into a structured planning component.
- Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
- Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.
### Evidence scoring rubric
- Purpose: turn the user's market context into a structured planning component.
- Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
- Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.
### Go/no-go decision framework
- Purpose: turn the user's market context into a structured planning component.
- Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
- Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.

## Output Format

Return a structured response with these sections:

1. **Input Summary** — what the user provided and what assumptions are being made.
2. **Strategic Diagnosis** — key opportunity, constraint, and uncertainty analysis for the overseas context.
3. **Framework Output** — the main tables, matrices, checklists, templates, or playbooks generated by this skill.
4. **Market Adaptation Notes** — what should change by region, language, channel, customer expectation, or operating model.
5. **Risks and Validation Tasks** — assumptions to test, professional review needs, and red flags.
6. **Next Actions** — 5–10 practical steps the user can take manually.

## Example Prompts

Try these real-world scenarios to see what this skill can produce:

**Prompt 1: India Demand Validation**
> "We have a mobile payment app that works well in Southeast Asia. We want to validate whether there is real demand in India before investing in localization. Our budget for validation is $5,000 and we have 4 weeks."
> → Output: Assumption map with 7 key risk areas (pain urgency, willingness to pay, UPI ecosystem fit, trust in foreign brand, regulatory barriers, channel reachability, competitive moat vs Paytm/Google Pay), recommended validation methods (landing page with paid traffic + 20 structured interviews), evidence scoring rubric (demonstrated intent with email capture = L3, scheduled call = L4, deposit = L5), go/no-go threshold guide.

**Prompt 2: B2B SaaS Germany Entry**
> "We are a US B2B SaaS project management tool. We see 200 free signups/month from Germany but almost no paid conversions. Is there real PMF in Germany or is this a false signal?"
> → Output: Demand signal ladder analysis (200 signups = L2 curiosity signal, 0 conversions = red flag), qualitative interview guide for German B2B buyers (question protocols covering decision process, data residency concerns, integration needs, price expectations), competitor alternatives map (Monday.com DE, Jira DE, Notion DE), recommended 2-week concierge test with 10 German prospects, specific objections to test (GDPR compliance, German-language documentation, local data center).

**Prompt 3: Brazil Ecommerce Assumption Mapping**
> "We want to enter Brazil with our fashion subscription box. We have never done business in South America. What are the biggest assumptions we need to validate?"
> → Output: Prioritized assumption map for Brazil ecommerce (logistics reliability in SP vs remote states, import duty cost burden, payment culture — boleto vs credit card, trust in subscription vs one-time purchase, customer acquisition cost via Facebook/Instagram), lowest-cost experiments per assumption (logistics test: ship 10 sample boxes to friends in BR, cost ~$500), evidence quality definitions, timeline recommendation for a 6-week validation sprint.

## Getting Started

👋 **cb-product-market-fit-validator installed!**

I help you validate whether your product actually works in a new market — before you spend money on localization, hiring, and inventory.

Try this to get started:
> "I want to validate [product] in [market]. My budget for validation is [$X] and I have [Y weeks]. Help me design the experiments."

Or just describe what you're selling and where you're thinking of expanding.

## Safety and Limitations

Validation frameworks reduce uncertainty but cannot guarantee product success or investment outcomes.

Additional limitations:

- No professional legal, tax, financial, medical, employment, investment, or compliance advice.
- No guarantee of market success, conversion improvement, legal compliance, or platform acceptance.
- Verify local laws, platform policies, consumer expectations, and current market facts with qualified professionals and reliable sources.
- Avoid stereotyping cultures or users; treat all cultural observations as hypotheses requiring local validation.

## Acceptance Criteria

- Lists key demand, channel, price, and trust assumptions
- Provides low-cost validation experiments
- Includes qualitative and quantitative evidence criteria
- Defines go/no-go/iterate decisions
- Warns against vanity metrics
- Provides structured, market-aware outputs rather than generic overseas expansion advice.
- Includes explicit assumptions, evidence gaps, and validation steps.
- Stays pure descriptive with no code execution, API calls, browsing, network access, or external side effects.