Case Study #1
A test was conducted to design a core return request form for Clarios using Salesforce OOTB and benchmarking against competitors like ACDelco, Advance Auto, and Costco. The process involved a prompt flow consisting of research, defining, ideating, and executing, which generated a visual wireframe in a fraction of the traditional time.
By leveraging AI and a structured prompt library, what would typically take around six months was completed in just 10 minutes, underscoring the efficiency gains possible with this approach. This case study highlights the power of AI in accelerating the design process, allowing teams to concentrate on improving and strategizing the user experience rather than starting from scratch.
Input (Stakeholder Requirement) :
Create a simple core return request form based on salesforce OOTB development. Also consider how competitors have been doing this on their portal.
UX Goal:
Design a simple, intuitive, and compliance-ready core return form using Salesforce OOTB, benchmarked against industry leaders, to reduce dealer return errors and improve processing speed.
Meta-Framework : Prompt Flow | How might we
Research → Started by asking about competitors. Define → What should the customers do to request a Core Return Ideate + Define → What should go in a Core Return Request form Ideate (Creative Leap) → Requested semantic wireframes for existing brands. Execute → Generated visual wireframe output (image) of Clarios-specific wireframe (unique, not copied)..
Deep diving in Prompt Flow
Verdict
This case study isn’t about final design quality. It’s about leverage: how you compressed months into minutes. This case study proves the power of structured prompt libraries as accelerators. What once took a month can now be simulated in minutes, freeing teams to focus on validation, refinement, and strategic UX instead of starting from zero.