Debug a spike in complaints from luxury travelers on Guest App

Problem Statement Description

Product context: Airbnb is a travel marketplace connecting guests and hosts; its products include stays, experiences, host tools, guest booking, trust and safety, payments, and reviews.

Airbnb has observed a sudden spike in complaints from luxury travelers using the Guest App. This segment typically has high expectations around listing quality, service responsiveness, accuracy of amenities, seamless booking, safety, and issue resolution. The complaints may be coming from different points in the guest journey, such as search, booking, pre-arrival communication, check-in, stay experience, cancellation, support, or post-stay dispute handling.

You are asked to lead a root-cause analysis as a product manager. The focus is not to propose a new luxury product experience immediately, but to diagnose what changed, where the spike is concentrated, whether it reflects a real degradation or measurement artifact, and what evidence would help prioritize mitigation.

Assume the Guest App serves a global marketplace with diverse supply, host behavior, geographies, price tiers, and trip types. Luxury travelers may include guests booking high-priced homes, premium listings, special-occasion stays, long-haul travel, family trips, or stays competing directly with high-end hotels.

The experience should consider:

- How to define and validate the complaint spike, including complaint rate, denominator, time window, severity, and affected volume

- Segmentation by traveler type, geography, platform version, device, booking value, listing category, trip length, host type, and stage of journey

- Instrumentation checks to rule out changes in complaint taxonomy, support routing, app logging, survey questions, or reporting thresholds

- Potential hypotheses across product changes, search and ranking, listing quality, pricing, booking flow, host communication, check-in, cancellations, refunds, and customer support

- Evidence needed from app analytics, customer support tickets, reviews, NPS/CSAT, host-side data, operational incidents, and marketplace supply changes

- How to separate luxury-specific issues from broader guest-app issues that happen to be more visible in high-value bookings

- Immediate mitigation options while the investigation is underway, including guest support escalation, host communication, marketplace quality checks, or rollback criteria

- Longer-term prevention mechanisms such as monitoring, alerting, quality guardrails, and feedback loops for high-expectation guest segments

The goal is to structure a clear RCA approach that identifies the most likely drivers of the complaint spike, validates them with data, assesses guest and marketplace impact, and recommends an evidence-based path to stabilize the luxury traveler experience without harming host supply health or broader marketplace trust.