The Commercialization Readiness Diagnostic in My360 is a structured tool designed to assess an organization’s readiness to bring a product, service, or initiative to market successfully. It evaluates critical factors like Customer Value, Market Fit, Profitability, Feasibility, and Desirability, helping teams identify gaps, validate assumptions, and focus on what matters most during the commercialization journey.
General Overview
What is the Commercialization Readiness Diagnostic?
The Commercialization Readiness Diagnostic is a tool that evaluates an organization’s preparedness for commercialization. It assesses critical areas such as customer demand, market alignment, financial feasibility, and technical readiness to ensure a higher likelihood of market success.
Who should use the diagnostic?
It is designed for teams working on new products, services, or process innovations across industries. Participants may include team members from development, marketing, finance, engineering, legal, and external advisors to ensure diverse and unbiased input.
Why is it important?
By using the diagnostic, organizations can:
Gain a clear understanding of project readiness and gaps.
Make data-driven decisions instead of relying on assumptions.
Reduce risks by identifying areas needing improvement early.
Increase the likelihood of successful commercialization by validating key factors throughout the project lifecycle.
How It Works
How do I access the Commercialization Readiness Diagnostic?
A: Navigate to the Diagnostic Surveys section in My360. Select the Commercialization Readiness Diagnostic to begin.
Note: Diagnostics cannot be saved in this app. To save and integrate diagnostics into ongoing work, use Transformation360 Enterprise, which allows linking diagnostics to ideation work and saving results for long-term tracking.
What are the steps to complete the diagnostic?
Select Kind of Innovation: Define whether the project focuses on internal improvements (e.g., process optimization) or external goals (e.g., launching a new product).
Select Market Type: Identify the target market as embryonic, growth, or mature.
Complete the Diagnostic: Answer questions on a 4-point scale from "Don’t Agree" to "Agree," providing evidence for your responses or acknowledging assumptions that require further validation.
Review Results: Analyze scores across the five dimensions and focus on areas requiring improvement.
Core Dimensions
The diagnostic evaluates five critical dimensions of commercialization:
Customer Value
Is there a clearly defined problem the solution addresses?
Have target users been identified and engaged?
Is there evidence to support customer demand for the product or service?
Feasibility
Is the initiative aligned with organizational strategy?
Are resources, technical infrastructure, and supply chains in place to support scaling?
Is a clear development and commercialization roadmap defined?
Market Fit
Does the solution align with market needs?
Are pricing and competitive strategies well-defined?
Can the solution be delivered sustainably?
Profitability
Is there a strong financial model, including revenue and cost estimates?
Have legal risks and liabilities been addressed?
Are potential licensing or IP monetization opportunities identified?
Desirability
Is there a strong narrative or branding strategy for the solution?
Do stakeholders see high value in the initiative?
Does the solution address gaps in the current market?
Scoring and Results
How is the score calculated?
Scores are calculated based on your responses across the five dimensions. Each category contributes equally to the Commercialization Readiness Score unless explicitly excluded. The final score reflects overall project readiness and highlights areas needing improvement.
What is the recommended minimum score?
A: Projects should aim for a minimum score of 30% to ensure basic readiness. For more competitive or mature markets, a higher score is often necessary.
How can I interpret my score?
Market Fit: Indicates how well the solution aligns with market needs and sustainability.
Customer Value: Shows how effectively customer demand is addressed and validated.
Profitability: Reflects the financial viability and scalability of the initiative.
Feasibility: Highlights technical and operational readiness.
Desirability: Measures the appeal of the solution to customers, stakeholders, and the market.
Practical Use Cases
When should I use the diagnostic?
The diagnostic is designed to be used at multiple stages throughout the project lifecycle:
Early Stage: During Levels 1 and 2 of Business Experiments to validate assumptions and gather initial data.
Later Stage: In Levels 3 and 4, when prototypes and pilot tests are conducted, to refine and validate key dimensions.
End Stage: Before handover to sales, marketing, or service teams to confirm readiness for scaling and launch.
How does it support ideation work?
When integrated with Transformation360 Enterprise, diagnostics can be linked to ideation work. This allows for:
Continuous tracking of commercialization readiness.
Clear visibility of progress in the Ideation Work Dashboard.
Informed decisions during key project milestones.
Advanced Features
How does the diagnostic tie into business experiments?
The diagnostic aligns with the four levels of business experiments:
Exploration: Validate whether a real problem exists with low-cost experiments like interviews.
Interest Discovery: Use broader experiments (e.g., online campaigns) to confirm the problem’s impact.
Validation: Test solutions with prototypes or MVPs, incorporating customer feedback.
Solution Validation: Confirm scalability through pilot programs, trial sales, or crowdfunding.
Can I exclude questions from the diagnostic?
Yes, if a question is not applicable, you can select Exclude to remove it from the scoring. However, consider whether the excluded item may still indirectly impact your project.
Key Benefits
Clarity on Readiness:
The diagnostic provides a clear picture of where your project stands in terms of market, customer, financial, technical, and stakeholder readiness.
Data-Driven Decisions:
By requiring evidence for responses, the diagnostic reduces assumptions and ensures decisions are based on reliable data.
Improved Success Rates:
Regular use throughout the project lifecycle helps teams identify and address gaps early, reducing risks and improving the likelihood of success.