Market Sizing via Customer Job Analysis
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Solution Overview
Problem
Traditional market sizing techniques are flawed as they rely on variable product inputs rather than constant customer jobs, leading to inaccurate market assessments and increased complexity, which can result in non-transparent errors in market sizing systems.
Innovation Solution
A securable market analysis technique that establishes an empirically-derived structure for evaluating market size using analytical methods, focusing on functional and emotional jobs, importance levels, satisfaction levels, job executors, and willingness-to-pay (WTP), enabling accurate market sizing and segmentation based on stable and measurable inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional market sizing techniques use product-based inputs, then market assessment can be performed, but measurement precision deteriorates due to variable product inputs rather than constant customer jobs
Solution Approach 1:
The patent inverts the traditional market sizing approach by switching from product-based inputs to customer job-based inputs. Instead of starting with products and technologies as the foundation for market definition, the system starts with customer jobs and outcomes, treating them as the stable foundation. This inversion resolves the contradiction by making the input basis constant (customer jobs remain stable over time) rather than variable (products change frequently), thereby improving measurement precision in market sizing.
2Reliability
If traditional market definitions are used, then market sizing can be performed, but reliability deteriorates due to inherent flaws in product-centric approaches
Solution Approach 1:
The patent changes the fundamental parameter used for market sizing from product attributes to customer job attributes. By shifting the measurement parameter from variable product characteristics to stable customer outcome characteristics, the system improves reliability of market assessments. The data structure parameters are redefined to capture job executors, job outcomes, and customer needs rather than product features, making the market sizing system more reliable while maintaining manageable complexity through standardized job-based metrics.
3Productivity
If market sizing systems increase complexity to manipulate data structures, then more detailed analysis is possible, but harmful factors increase due to non-transparent errors
Solution Approach 1:
The patent extracts the source of non-transparent errors by removing product-based variables from the market sizing data structure and replacing them with customer job-based constants. By taking out the variable product inputs that cause transparency issues and replacing them with stable job definitions, the system maintains enhanced analytical capability while eliminating the harmful factor of non-transparent errors. The data structure is reorganized to focus on customer outcomes and job executors, making the analysis both more capable and more transparent.
Data Source
AI summary
A technique for performing securable market analysis involves establishing an empirically-derived structure and evaluating market size using analytical techniques within that structure. Inputs to a system that incorporates the technique can include a functional job and related emotional and consumption jobs, if any; importance levels; satisfaction levels; job executors; and willingness-to-pay.