AirDNA is the leading analytics platform for the short-term rental industry, providing market intelligence across 10M+ listings in 120K global markets.
I joined as a Senior Product Designer and grew into a Staff / Lead Product Designer role, eventually leading design across multiple core product surfaces — hiring designers, coordinating freelancers, and shaping design workflows across the organization.
The core challenge: making massive amounts of rental market data legible, trustworthy, and actionable for fundamentally different users making fundamentally different decisions.
AirDNA is not a single interface but a network of analytical tools. Hover any surface to trace where it lives in the platform.
Market research and investment discovery across 120K global markets.
→ Used by all three personasHistorical performance trends and competitive benchmarking.
Top-of-funnel property evaluation.
Operational insights for individual hosts.
Portfolio monitoring and forecasting.
AirDNA is not a single interface but a network of analytical tools. Tap any surface to trace where it lives in the platform.
Market research and investment discovery across 120K global markets — the entry point for evaluating where to deploy capital.
Historical performance trends and competitive benchmarking.
Top-of-funnel property evaluation.
Operational insights for individual hosts.
Portfolio monitoring and forecasting.
AirDNA’s forecasting tools had the data but not the clarity. Over six months, we redesigned the forecasting suite — Pacing Insights, Reviews & Policy Analysis, and Demand & Event Impact — so managers could read pacing, policy, and demand signals in a single glance. The Events overlay was a core addition: event markers pin to the pacing chart, so managers could see exactly how a marathon, festival, or conference would shift occupancy — and act before the market caught up.
Managers opened the app first thing in the morning with one question — is this week pacing above or below where we expected, and what’s about to change it?
Pacing Insights overlays market and historical baselines onto the booking curve. When a marathon, festival, or conference enters the window, managers see the projected uplift on their occupancy — and can price or restrict before the market catches up.
Reviews and policy signals were scattered across several different tools for property managers. We consolidated them into one comparative view, so managers could see how their ratings and policies stacked up against the market — and trace which policy changes were moving the needle.
Tracking revenue in isolation was meaningless — managers needed context. The dashboard plotted their property’s weekly revenue against comp set and market averages, with a YoY toggle that brought last year’s pace into the same view. When the patterned bars from last year sat higher than this year’s solids, managers knew exactly where to dig in.
An investor wants to know whether a market is worth buying into. An agent wants to know what a single address can earn. A property manager wants to know which ten listings they’re really competing with. A host wants to know if they’re pricing it right. Four different questions, one underlying dataset.
Each of the five surfaces in this section answers one of those questions — but all of them inherit the same chart grammar, type system, and color pass as the forecasting suite. Moving between them should feel like navigating one product, not five, even though every surface was built for a different user and a different level of urgency.
AirDNA’s primary research surface for sizing up a rental market. Aggregates market-level metrics with drill-down into the specific listings that are driving performance.
Built for the research moment before a decision — when an investor needs to form a defensible thesis about a market in under ten minutes without feeling like they’ve missed something.
The primary entry point into AirDNA — a single-address revenue estimator designed to help users evaluate a property’s potential in seconds.
Balances simplicity with credibility through comps, distribution data, and confidence indicators.
A daily decision surface for property managers. Rates, demand, and revenue benchmarked against live market signals, updated daily.
Built so managers can see where they stand in a single read — and know whether today’s question is about pricing, timing, or availability.
A pricing surface for individual hosts. Curate a comp set per listing, then track every competitor's nightly rates, bookings, and restrictions side-by-side with your own.
Before this, hosts were stitching that research together by hand — a browser tab here, a spreadsheet there, a fair amount of guesswork. We built the calendar to replace that patchwork.
A comp-set builder for when the market is the wrong unit of analysis. Users hand-pick the listings they compete with — by geography, property type, or amenity — and benchmark against that precise set instead of the whole market.
Works the same way for a host tuning prices against three neighbors, a manager benchmarking a portfolio, or an investor sizing up a micro-market. The comp set is the input to everything downstream.
Rentalizer is AirDNA’s front door. It’s the first surface most future customers touch — a free revenue estimator that decides, in under a minute, whether the product is worth signing up for.
Most of the work here was shaped by experimentation. We gave away full estimates to earn trust, gated the comp-level depth that analysts actually pay for, and tested how the upgrade moment was framed more than any other surface in the product.
Following a company restructure that reduced the design team from five to two, the scope of the role shifted significantly. What had been shared across a team — research, product design, freelance coordination, and design operations — consolidated into a much smaller function covering five product surfaces simultaneously.
Rebuilding meant hiring, standing up structured research practices, and introducing operational workflows that hadn’t existed before — while maintaining design quality across every surface in parallel.