Overview

We built a tool to collect high-fidelity treatment data from providers as part of an early-phase clinical program. I led product for a data capture system that balanced ease of use with clinical rigor—making it simple for providers to log photos, injection details, and patient feedback without breaking their flow. Think research-grade results with consumer-grade usability.

Problem(s)

To validate a new injectable treatment, we needed real-world data: injection volumes, placement, techniques, outcomes, and patient satisfaction—all tracked over time.

But our users weren’t researchers. They were busy providers. And before this tool, data came in through a mess of spreadsheets, photos, and incomplete forms. Which meant:

  • Inconsistent data formats

  • Missed follow-ups

  • Manual validation headaches

  • Low confidence in the treatment protocol

We needed a clean, structured, and repeatable way to collect patient-level data without making it a burden.

Approach

We started by mapping out the ideal patient journey from first injection to post-treatment survey, and then built a flow that guided providers through it—step by step, stage by stage.

Key insights:

  • Data quality improves when you make it harder to mess up

  • Providers will engage if you respect their time

  • Touch-first design matters when your users are working on an iPad between appointments

So we designed a lightweight wizard that:

  • Collected baseline data

  • Let users drop pins on a face to mark injection sites + volumes

  • Triggered SMS surveys to patients at key milestones

  • Synced validated photos and data to Dropbox with facial coordinates and timestamps

  • Tracked each patient’s status across four required milestones for HCP compensation

Build

  • A guided, stage-based intake flow to add new patients and log each treatment

  • Volumetric injection mapping using drag-and-drop pins on a 3D face

  • Real-time validation against Medical Affairs protocol

  • Dropbox integration for automatic image + data storage

  • DocuSign workflow for patient opt-in, triggered via QR-code

  • Admin dashboard to track patient progress, provider compensation eligibility, and cohort caps

Result

  • Over 90% of submissions passed validation without manual review

  • Providers completed all required stages with minimal support

  • Medical Affairs approved the data set for clinical and marketing use

  • SMS-based follow-ups captured real-world patient feedback post-treatment

  • Data informed future guidance on how to reconstitute and administer the drug safely and effectively

Lesson(s)

This project taught me how structured workflows can elevate the quality of raw data—especially in clinical and regulated spaces. It also reminded me that provider adoption hinges on clarity, speed, and ease. When you guide people through a task and eliminate room for error, good data becomes a byproduct of a good experience.

Nikolas Bersebach

Taking Products From Zero to One.

Nikolas Bersebach

Taking Products From Zero to One.

Nikolas Bersebach

Taking Products From Zero to One.