Your new LinkedIn profile worked. A recruiter clicked through to your portfolio. But what did they find?
A case study that reads like a lab report: Problem, Process, Solution. It's a list of tasks, not the story of your thinking. It’s clean, professional, and the moment a recruiter’s interest begins to fade.
What if your case study was the thing that got you the interview?
Let's run the play.
The 3-Step Case Study Narrative
1. The Brain Dump Collect all your project notes, links, and files. Dump them—unorganized—into a single document. This is your raw material.
2. Command Your Story Editor Command your AI to act as a Design Director and storyteller. Its mission is to find the hidden narrative arc in your chaotic brain dump.
3. Direct the Final Cut The AI provides the script; you’re the director. Add your visuals, polish the language, and make the story your own.
Ready to run the play? Here's the prompt.
The 'Case Study Story' Prompt
(Copy the text below, replace the parts in [brackets], and paste it into your AI tool of choice.)
Act as a world-class Design Director and a master storyteller. Your mission is to analyze my raw project notes and structure them into a compelling case study narrative that will hook a recruiter.
Here are my raw, unorganized project notes, research, and data: [Paste your entire 'brain dump' here. The messier, the better.]
Now, analyze everything and structure it into a narrative using these four acts:
1. The Hook (The Problem): Define the initial user problem or business challenge. What was the tension?
2. The Turning Point (The Insight): Find the single most important 'aha!' moment from research that changed the project's direction.
3. The Climax (The Solution): Describe how your final design directly addressed that insight. Explain your key design decisions.
4. The Resolution (The Impact): Conclude with the outcome. What were the results or feedback? What did you learn?
A Note on Authenticity: The AI builds the skeleton. You add the soul. Use its output as your guide, but write the final version in your voice.
See It In Action
Let's take a fictional designer, Rohan.
The 'Before' (His notes):
"Project: E-commerce app. Problem: low checkout conversion. Process: I conducted user surveys, made wireframes, and designed a new UI. Solution: A new checkout flow."
The 'After' (A snippet from the AI's story structure):
"The Turning Point: Our user surveys revealed the real issue wasn't the number of steps in the checkout, but the anxiety users felt about hidden shipping costs. A single quote from a user—'I don't trust the price I see'—became our 'aha!' moment."