Business Challenge
Overreliance on Manual Research and Intuition Business and product decisions were often based on informal knowledge or intuition. The client couldn’t confidently identify high-impact opportunities. Without scalability, it was challenging to track competitors’ behavior.- Turning Customer Feedback into Actionable Insights While the client had a large volume of customer reviews and service feedback, the unstructured nature of this data made it difficult to quickly extract trends, pain points, or product improvement opportunities.
Solution
DevCom performed a comprehensive AI Readiness Audit to evaluate the client’s technological maturity and identify opportunities for AI integration in e-commerce:
Step 1: Initial Discovery and Internal Research
We began by thoroughly reviewing the client’s company and website to understand the business context, current offerings, and potential areas for improvement before engaging directly with them.
Step 2: Stakeholder Interview
Next, we conducted an in-depth interview with the key stakeholders using the Jobs-to-Be-Done (JTBD) framework. This helped us uncover core business goals, user needs, and specific pain points that the solution should address.
Step 3: Competitor and Market Research
Following the interview, we conducted a competitive analysis to benchmark industry practices and identify market gaps and opportunities relevant to the client’s domain.
Step 4: User Persona & Pain Point Definition
Based on the stakeholder interview and market insights, we developed user personas that represent distinct segments of the client’s audience. For each persona, we outlined specific goals, behaviors, and pain points, allowing us to better understand how to align proposed solutions with user expectations.
Step 5: Internal Brainstorming & Feature Ideas
Our team held an internal brainstorming session to synthesize all findings, from stakeholder needs and pain points to competitor insights. Through this collaborative session, we defined a set of potential AI-powered features that would bring the most value to the client and address their core challenges.
Step 6: Feature Presentation and Validation Interview
In a second interview, we presented the proposed user personas, pain points, competitor features, and AI feature concepts to the client. This session helped validate our direction and capture additional input.
Step 7: Feature Feedback and Prioritization Analysis
In collaboration with the client, we evaluated each proposed feature based on two criteria: (1) implementation difficulty and (2) business importance. These were plotted in a prioritization matrix to visualize which features should be tackled first.
Step 8: Roadmap Definition
Based on the prioritization matrix, we created a feature roadmap that clearly outlined the most impactful and feasible features to implement in the short term. This gave the client a structured, actionable plan to move forward with development.
Results
➤ Clarity on Strategic Needs
Through structured interviews and analysis, the client gained a clear understanding of their specific challenges, business goals, and AI-related opportunities.
➤ Confidence Through Validation
By participating in validation sessions and contributing feedback, the client could assess and prioritize each proposed feature based on business importance and implementation complexity, resulting in a focused and actionable roadmap.
➤ Research-Driven Feature Direction
Comprehensive market research, competitor analysis, and user persona development led to AI feature recommendations grounded in real user needs and strategic context.
➤ Implementation Readiness and Strategic Positioning
With a well-defined, vendor-agnostic roadmap, the client is ready to begin development with any technical partner. This gives them a clear path forward to deliver high-impact AI features tailored to their users, strengthening their digital offering and enabling confident market advancement.
