Minimum Viable Prototype (MVP)
Once you have validated the idea, the next step is to develop an MVP to test your solution with real users and get feedback before production. You can perform this service independently. We adapt to you and the timing of your project.
Benefits
The MVP is ready to be tested and receive feedback from a group of real users in a controlled environment to understand the value it provides and its potential reception.
Measure the risks
Evaluate the results of the solution and identify any potential new risks to address them before the final implementation.
Check the status of the project.
Assess whether the development remains aligned with your objectives and roadmap, and make data-driven decisions.
In Depth: Minimum Viable Prototype (MVP)
The MVP represents the first functional version of your product with the most basic features of the solution we are designing. Without reaching full development, it allows you to gather feedback from a group of real users and understand whether completing the project is viable. This stage is crucial for assessing market acceptance and making necessary adjustments before investing in final development and productisation.
Methodology
1. Review of PoC Results
Review all available information about the solution to be developed and its validation in terms of technology and business.
2. MVP Development
Development of a basic functional solution, with all the main features, designed for research and testing.
3. Integration and Evaluation
The MVP is tested in a controlled environment to determine if it meets the proposed objectives and addresses the main business need.
An MVP is for you if...
You want to take the PoC technology test further.
You want to test your solution in a real environment before developing.
You need to assess and reduce new technological risks.
‘The goal of an MVP is to get feedback from real users with a small-scale deployment to find new insights, challenges we didn’t foresee and assess the risk of market adoption.’
Germán Sanchis (CEO, Sciling) on ‘Interfaces de Futuro’.
Ensure the success of your AI project
75% of AI projects fail due to a poor approach or lack of an expert team.
At Sciling, we have 10 years of experience in developing AI projects. If you have already identified your organisation’s challenge or the use cases where AI could provide a solution, get in touch with us so we can help you.
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