Mid Fidelity
Mid Fidelity
Mid Fidelity
Feasibility Sprint
Overview
A Feasibility Sprint is a technical test that helps us quickly determine whether a new venture, product, or service idea can be built within a given set of constraints. At Future Foundry, we use this experiment when working with software products, AI models, or integrations, where technical complexity could be a barrier to execution. Unlike traditional product development, where full specs are written before building, a Feasibility Sprint is a time-boxed, stripped-down version of development that tests only the riskiest or most uncertain parts of a system. The goal is not to build a working product but to answer a critical technical question—if the test succeeds, we move forward; if it fails, we pivot before wasting resources. This method is ideal for software startups, AI-driven products, and platform integrations, where the unknowns around technology, scalability, or API limitations need to be resolved before making major investment decisions.
A Feasibility Sprint is a technical test that helps us quickly determine whether a new venture, product, or service idea can be built within a given set of constraints. At Future Foundry, we use this experiment when working with software products, AI models, or integrations, where technical complexity could be a barrier to execution. Unlike traditional product development, where full specs are written before building, a Feasibility Sprint is a time-boxed, stripped-down version of development that tests only the riskiest or most uncertain parts of a system. The goal is not to build a working product but to answer a critical technical question—if the test succeeds, we move forward; if it fails, we pivot before wasting resources. This method is ideal for software startups, AI-driven products, and platform integrations, where the unknowns around technology, scalability, or API limitations need to be resolved before making major investment decisions.
A Feasibility Sprint is a technical test that helps us quickly determine whether a new venture, product, or service idea can be built within a given set of constraints. At Future Foundry, we use this experiment when working with software products, AI models, or integrations, where technical complexity could be a barrier to execution. Unlike traditional product development, where full specs are written before building, a Feasibility Sprint is a time-boxed, stripped-down version of development that tests only the riskiest or most uncertain parts of a system. The goal is not to build a working product but to answer a critical technical question—if the test succeeds, we move forward; if it fails, we pivot before wasting resources. This method is ideal for software startups, AI-driven products, and platform integrations, where the unknowns around technology, scalability, or API limitations need to be resolved before making major investment decisions.
Process
We begin by identifying the biggest technical risk in the project—whether it’s an untested algorithm, a third-party integration, or a new framework. Instead of building a full prototype, we create a focused, throwaway version of the most uncertain feature. The Sprint is executed under strict time constraints, usually between one to two weeks, focusing only on answering a specific technical question. Once complete, we evaluate whether the approach works and whether it introduces new limitations that require adjustments. If the test is successful, we move forward with confidence, knowing the technical foundation is viable. If it fails, we reassess the approach, potentially redefining the product’s architecture or scope before further investment.
We begin by identifying the biggest technical risk in the project—whether it’s an untested algorithm, a third-party integration, or a new framework. Instead of building a full prototype, we create a focused, throwaway version of the most uncertain feature. The Sprint is executed under strict time constraints, usually between one to two weeks, focusing only on answering a specific technical question. Once complete, we evaluate whether the approach works and whether it introduces new limitations that require adjustments. If the test is successful, we move forward with confidence, knowing the technical foundation is viable. If it fails, we reassess the approach, potentially redefining the product’s architecture or scope before further investment.
We begin by identifying the biggest technical risk in the project—whether it’s an untested algorithm, a third-party integration, or a new framework. Instead of building a full prototype, we create a focused, throwaway version of the most uncertain feature. The Sprint is executed under strict time constraints, usually between one to two weeks, focusing only on answering a specific technical question. Once complete, we evaluate whether the approach works and whether it introduces new limitations that require adjustments. If the test is successful, we move forward with confidence, knowing the technical foundation is viable. If it fails, we reassess the approach, potentially redefining the product’s architecture or scope before further investment.
Requirements
This experiment requires a dedicated engineering resource, clear documentation of the technical uncertainty being tested, and a structured way to evaluate the outcome. It’s not about building a full prototype—it’s about removing the biggest unknowns before committing to full development.
This experiment requires a dedicated engineering resource, clear documentation of the technical uncertainty being tested, and a structured way to evaluate the outcome. It’s not about building a full prototype—it’s about removing the biggest unknowns before committing to full development.
This experiment requires a dedicated engineering resource, clear documentation of the technical uncertainty being tested, and a structured way to evaluate the outcome. It’s not about building a full prototype—it’s about removing the biggest unknowns before committing to full development.
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