Woman (Marguerite) taking a selfie in the mirror, phone in hand, wearing a RHCP shirt.

Marguerite Whitford

Senior Product Engineer @Parse.ly

Generated PDF test results for allergy patients and doctors

Target 🎯

  • Take patient’s test results, design and generate user-friendly PDFs explaining results
  • Additionally, generate doctor-oriented results
  • drChrono API and Vital API, Lamdas, Node, Puppeteer, JavaScript, D3, Vue
  • Launch in 3 months
  • ~ As of late 2023, has been used by 4,000+ patients and generated 2M in revenue
UI collage showing prototypes for allergy tests.

Wyndly, the telehealth allergy company, needed a way to generate and deliver secure allergy test results to prospective patients. Working closely with the CEO and backend engineer, we took the patient data API, designed, and automated with Vue, Node, Mailgun, and remote Lamdas.

This was a fun project!

Medical Results

Typically, a patient receiving allergy test results from a hospital gets a doctor-oriented document listing raw IgE results. For this task, we wanted to generate a doctor-oriented PDF result but then expand into a more human report, helping the patient understand their allergy symptoms and information. (To be fully explained by their medical practitioner).

Lab result PDF formatted for medical professionals showing IgE results.

Patient Report

For the patient report, we decided to give a full pollen snapshot then provide in-depth pollen information, tailored to the users' results.

Read more on Wyndly's blog: Process: Sample allergy test report.

A first prototype of the patient summary report showing results by allergen category.
A first prototype.
Allergen breakdown PDF for Pets, cat and dog specifically.
Patient-tailored allergen breakdowns.

Blog allergy reports driven by PollenSense API data

Target 🎯

  • Take pollen dataset and generate interactive, quality designed, high engagement pages, e.g., Summer Pollen Phoenix, AZ 2023
  • Build SEO credibility with long-form niche content
  • Ship 350+ pollen USA blog pages (cities, states, permutations)
  • JavaScript, Python, Vue, D3, Google Sheets, Netlify
  • Hand off to Shopify dev team in CSV and generated format
  • Launch in 2.5 months
  • ~ Since launch, the reports have generated 6k page views, 3.4k unique visitors, 1:25m of average engaged time
Figma shot of three artboards, two showing page sketches and one showing a medium fidelity prototype.

Wyndly needed to design and launch a bunch of generated pages from the PollenSense dataset as location specific allergen breakdowns. Given a set of static pollen data, Wyndly's CEO and I worked to analyze, design, and iterate on these location pollen pages.

Figma shot of three artboards, two showing page sketches and one showing a medium fidelity prototype.

Proof-of-concept

The prototype was deployed to Netlify for feedback and design sessions. The final data format was aggregated, cleaned, then exported to a CSV for Wyndly's dev team.

Proof-of-concept homepage in the Vivaldi browser. Navy background with images of common allergen situations (garden, park, medical).