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An AI that optimizes Business Plans and MVP solutions

An AI that optimizes Business Plans and MVP solutionsAn AI that optimizes Business Plans and MVP solutionsAn AI that optimizes Business Plans and MVP solutions

We guide you through go/no-go evaluations. 

Generate my PMF solution >>

orangelab.ai delivers all steps

Validated Problem-Solution Fit

  • Customer Pain: The problem addressed should be significant and well-defined for a specific target audience.
  • Solution Resonance: Customers should perceive your solution as a compelling answer to their problem.

Quantitative Market Feedback

  • Engagement Metrics: High usage, repeat usage, and positive engagement metrics (e.g., DAU/MAU ratios).
  • Retention Rates: Strong customer retention over time, indicating sustained value.
  • Conversion Metrics: High conversion rates from trials to paid subscriptions or purchases.

Qualitative Customer Feedback

  • Net Promoter Score (NPS): High NPS indicates customer satisfaction and likelihood of referrals.
  • Customer Interviews: Direct feedback that demonstrates strong alignment with needs and expectations.
  • Testimonials and Case Studies: Evidence of value creation and problem-solving.

Competitive Positioning

  • Unique Value Proposition (UVP): Clear differentiation from competitors.
  • Defensible Advantage: A feature, technology, or approach that is difficult for others to replicate.

Product Performance Metrics

  • Churn Rate: Low churn indicates that customers find lasting value in the product.
  • User Behavior Analytics: Positive patterns in how customers interact with the product.

Scalability Potential

  • Operational Feasibility: The ability to scale without significant increases in costs or complexity.
  • Market Size: A large and/or growing addressable market to sustain future growth.

Tech Stack

  • Technological Viability : Focus on rapid development, scalability, and the ability to integrate AI and analytics.
  • Future Predictions:  An analysis of  necessities according to future  trends 

Go/No-Go Decision Framework

  • Predefined KPIs: Meeting or exceeding the key performance indicators set before testing.
  • Objective Criteria: Data-driven decision-making, minimizing biases.

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