Ride for multiple passengers

Ride for multiple passengers

Product design

Microinteractions

Flowchart

Card sorting

Uber Charter enables seamless travel with flexible itineraries for groups up to 55 passengers. The charter industry is largely offline, includes massive friction in the customer experience, and is highly fragmented. Uber Charter offers an entirely self-service digital experience, with the option to speak to a human at any time.

Charter at-a-glance

Charter

at-a-glance

192

192

Live cities

Live cities

$1.8K

$1.8K

Average fare

Average fare

15.2M

Sessions

$3.4M

Gross bookings

4.4K

Requests

2.2K

Bookings

38%

Corporate

bookings

20%

Corporate

repeat usage

4.4K

Requests

15.2M

Sessions

2.2K

Bookings

96%

Fulfillment rate

$3.4M

Gross bookings

38%

Corporate bookings

20%

Corporate

repeat usage

3x

Conversions on web

Service areas in USA

Service areas

in USA

Regular booking flow

Regular

booking flow

Growth improvements

Delayed log-in

Delayed log-in

Initially, we required riders to log-in before entering the booking flow on web & mobile. This resulted in 50% - 60% drop off.


We moved the login requirement to right after the rider completed the first two booking steps (Itinerary and trip type) they had to login to see the quote and vehicle selections.


We brought more high-intent riders into the booking funnel this way. Conversion increased and especially through SEM.

Choose your ride

Choose

your ride

Our focus was to always let the vehicle exterior and interior images do the selling. There was always sticker shock with pricing so we tried to alleviate that through selection.

Price match guarantee

Price match guarantee

Competitors were typically materially cheaper than US Coachways (Uber's partner) due to the broker model. We wanted to leverage our brand + lower pricing to see if that would increase conversion and bookings.


37% of customers cited pricing as the reason for abandoned draft trips.

Review booking

Review booking

Clearly summarized all important trip details for rider and alert them to cancellation policy.


We played around with information hierarchy, sequencing, and particularly where we placed the cancellation policy, focusing on trip confirmation.

AI support

AI support

7.2%

Answers led to the

rider booking

25%

Rider wanting

to book a trip

7.2%

Answers led

to booking

25%

Rider wanting

to book a trip

• Support tickets indicate there are informational questions that can be answered faster via AI support than live agent.


• Majority of funnel drop off occurs largely due to questions around pricing and vehicles that can be answered without a human dedicated.


• Chatbot can be a great tool to bucket high-intent vs. low-intent riders and assist in more targeted follow-ups with high-intent riders