Case Study 

Building an AI-Powered Creative Feedback App

Internal Systems + Innovation

The Problem

Creative and landing page review and feedback were fragmented across multiple (partially working) tools, leading to unclear client direction, inefficient revision cycles, and frustration for both teams and clients. Existing platforms failed to support a cohesive workflow across images, landing pages, and video.

Role

Oversaw messaging strategy across paid social and landing page experiences, ensuring alignment between audience targeting, creative execution, and on-page messaging across Meta, LinkedIn, and Google campaigns.
Tool after tool failed us. From broken platforms that wouldn't work to overcomplicated workflows, we couldn't find a solution for our internal team and clients to review our landing page and paid social ad creatives. 
-Daniel

Approach

  • Built a unified platform for reviewing creative assets across formats.
  • Designed structured feedback flows and used AI to translate vague input into actionable direction.
  • Enabled project and version management for account teams.
  • Introduced metrics and historical tracking to identify inefficiencies.
  • Leveraged Groq to run an AI-powered LLM that analyzes client behavior and turns insights into improved internal collaboration and decision-making within the app. 
  • Setup a database to organize and store information.

AI that helps reduce vague feedback

Further preparation for development insight
  • Broke creative reviews into structured components so feedback could be tied to specific elements, not vague opinions.
  • Focused on reviewing assets in context so feedback reflected real user experience across ads, landing pages, and video.
  • Built in a clear link between feedback and iteration outcomes so changes and performance could be tracked over time.
  • Designed for speed and low friction so giving feedback could happen naturally during real review workflows.

Results

  • Improved clarity and usability of the feedback process.
  • Reduced inefficiencies in revision cycles.
  • Increased alignment between clients and creative teams through communcation at various points of the process based on client and teams actions.
  • Provided a scalable foundation for more efficient creative operations.

Metrics that identify inefficiencies with AI-powered feedback 

Simplified client project management

Video review with time-stamping for accuracy

Easily adjust how AI responds and presents feedback

Interested in working together?