Product Manager, data enthusiast, picklepreneur in Los Angeles.
Paul Shaaf
MBA @ University of Virginia, Darden School of Business
BS @ University of California, Santa Cruz
Product @ Planet DDS
Products
Currently, I am a product manager at Planet DDS, the leading provider of cloud-based dental software. I lead the 0-1 design, development, and launch of Denticon's new analytics products. I drive results through hypothesis-driven decisions, customer empathy, and data, managing the entire process from conception to market release and ongoing improvements. Click the images below to learn more.
Denticon Data Share
Denticon Data Share is an enterprise raw data product, powered by Microsoft Azure, that enables Denticon clients full access to their raw data to generate powerful custom reports and more.
Denticon Practice Analytics
Denticon Practice Analytics is a comprehensive analytics suite offering over 100 KPIs, interactive dashboards, and personalized benchmarks to boost productivity, efficiency, and patient care in a dental practice and dental organization.
Montana Pickle Co.
Montana Pickle Co. is a passion project inspired by my love for pickleball. Our flagship product, The Open Play Chair, is a unique chair/backpack combo designed for players who spend hours on the courts. Sold primarily on Amazon, it's the top organic result for "pickleball chair." Click on the image to learn more.
Sample Work
I enjoy breaking down ambiguous problems into quantifiable solutions. No challenge is too big for a well-designed model. Below are sample data models from my work experience and studies at the University of Virginia. Feel free to download, explore, and reach out with any questions.
Cannibalization-Aware Pricing Model
Product B is being introduced into the market however it risks cannibalizing the same customers from Product A since they target the same market. I built a pricing model for Product B using a linear regression and Solver that optimizes profit while accounting for both products' margins, cannibalization, and market perception. Click the image above to download the .xlsx file.
Data Model to Predict Better Loans
At the University of Virginia, I developed a boosted regression trees model using python and datasets from Fannie Mae to better predict default probabilities.
Read the full code here or click the image above to download the final presentation's pdf.
A/B Test Model for Adoption & Stickiness
A/B test model template I use for feature adoption and stickiness tests: I calculate statistical significance (p-value) using z-scores for proportional variables (e.g., adoption, retention) and t-statistics for continuous variables (e.g., usage frequency, session duration). Click the image above to download the .xlsx file.
SMB Acquisition Model
Ever catch yourself scrolling BizBuySell at 2 a.m., wondering what would happen if you went all-in on a laundromat? Me neither. If you did, though, you could use this model to plug in values like asking price and revenue, then see after-debt cash flow, loan payment schedule, and a five-year forecast. Click the image to download the.xlsx . Remember to do your own due diligence!