A guided sales & pricing web application
Led end-to-end design of a sales and pricing web application that contributed to a projected $200M+ revenue opportunity through AI-assisted decision support and a guided, bias-reducing series of questions that determine deal structure and pricing.
Due to the nature of this work, I'm unable to share visuals publicly — happy to walk through it live.
Problem
Structuring and pricing a deal has too many variables for non-experts to navigate confidently — leading to bias and inconsistent pricing.
Approach
Led end-to-end design of a guided, TurboTax-style web app — objective Q&A that removes the guesswork and outputs market-relevant pricing.
Impact
Projected $200M+ revenue opportunity; currently in development and pilot with users.
Background
Inspired by TurboTax's simplicity, this application replaces guesswork with a guided series of objective questions — the app handles the complex calculations and returns competitive, market-relevant pricing and delivery options.
What I created
I mapped the user journey, built wireframes, and designed an interactive Figma prototype covering the full sales process as a web application.
- Iterated with Sales & Pricing leadership through multiple rounds to shape the vision
- Turned a leadership concept into a tangible, testable design
- Currently being developed and piloted with users
Value add
- Reduction of user bias and error
- Improved data accuracy using a modular data structure that can further enhance pricing models in the future
- Reduced costs associated with hands-on deal support
- Increased confidence in pricing accuracy
- A streamlined process to create and price a deal, with simple, straightforward UX/UI that builds agency for newer and more junior sales team members