Problem Inventory Analysis is a market research technique that shifts the focus from testing specific solutions to systematically identifying and prioritizing the unmet needs and frustrations of a target market. Instead of asking “Do you like this product?”, it asks “What problems do you face?” Participants are presented with a comprehensive list of potential problems or “hassles” within a defined activity or product category. Their reactions—rating severity, frequency, and current solutions—allow researchers to quantify pain points. This method efficiently uncovers validated, high-priority opportunities by revealing the gaps where no adequate solution exists, providing a needs-based foundation for innovation.
Problem Inventory Analysis:
1. Core Objective & Strategic Purpose
The core objective is to identify and rank unmet customer needs within a specific domain before any solution is proposed. Its strategic purpose is to de-risk innovation by grounding it in validated, pre-existing market frustrations rather than speculative product ideas. This method prevents the common pitfall of building a solution for a problem that isn’t perceived as significant. By systematically quantifying which problems are most severe and poorly served, it provides an empirical, objective foundation for prioritizing which opportunities warrant further development and resource allocation, ensuring efforts target genuine market demand.
2. Methodology: The Problem List & Rating
Researchers compile a comprehensive list of potential problems, hassles, or frustrations associated with a general activity (e.g., “grocery shopping”) or product category (e.g., “using a home printer”). This list is generated from prior research, expert interviews, and customer observations. Participants representing the target market are then surveyed, rating each problem on two key scales: Severity (how big of a hassle is it?) and Adequacy of Current Solutions (how well do existing options solve it?). This dual-rating is crucial for pinpointing high-impact gaps where significant dissatisfaction meets poor resolution.
3. Data Analysis: The Gap Matrix
The survey data is plotted on a Gap Matrix (or Opportunity Matrix). The vertical axis represents problem severity, and the horizontal axis represents the inadequacy of current solutions. Each problem appears as a data point. The upper-right quadrant—where high severity intersects with high inadequacy—contains the prime opportunities. These are the acute, underserved pains that customers care deeply about and for which they lack good answers. Visualizing data this way allows for clear, strategic prioritization, moving beyond simple frequency counts to identify the problems where a new solution would deliver the greatest perceived value.
4. Strategic Output: Prioritized Opportunity Areas
The final output is not a product concept, but a prioritized list of validated customer problems, translated into clear opportunity areas for innovation. For example, a top-rated problem like “forgetting to buy staple items until you run out” becomes the opportunity area of “managing pantry inventory.” This reframes the challenge for the innovation team, focusing their creativity on a verified market gap. The analysis provides a strategic brief: “The most valuable opportunity lies in solving this specific problem for this specific segment,” directing brainstorming and development efforts with high confidence in market need.
5. Advantages and Key Considerations
A key advantage is its objectivity; it minimizes bias by not leading customers with preconceived solutions. It efficiently surveys a broad problem landscape. However, success depends on a well-constructed, comprehensive problem list—omitting a key problem invalidates part of the analysis. It also identifies “expressed” needs but may not uncover latent, unarticulated desires. It is therefore a powerful tool for exploiting known gaps (incremental to radical innovation) within a defined category, but should be complemented with other methods (like ethnography) for discovering totally new, disruptive opportunity spaces.