Increasing CareGuide's message response rate by 20% — Qinglan Zheng
qinglan.zheng
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+20% response rate CAREGUIDE · MESSAGING · 2022

Initiating a messaging redesign that increased response rate by 20%

CareGuide is a two-sided marketplace connecting care seekers and care providers primarily through messaging. I initiated and led the research, strategy, and design behind three response-rate projects.

TIMELINE
Feb–Sep 2022
ROLE
Research & design lead
TEAM
PM, Engineers, Marketing lead, Design manager
STATUS
Launched
CareGuide messaging app phone mockups
01 · The problem

Low response rate was driving ~30% of cancellations

"Why am I not getting a response? I sent 30 messages, but only got 2 responses."

— Care provider
CareGuide messaging marketplace
02 · The impact

Response rate up 20%, message activity up 15%

+20%
Message response rate
+15%
Overall message activity
+12%
First message rate
+8%
User responding rate
03 · My role

Initiated through research, led end to end

01
Dug into the response-rate issue proactively, found a possible cause, shared with the team and raised interest.
02
Got buy-in for a site-wide data analysis; learned SQL to work with the data analyst and identify the factors that correspond to response rate.
03
Facilitated a cross-functional work session to brainstorm solutions from the data insights.
04
Facilitated prioritization into a roadmap of three response-rate projects.
05
Led design across all three, each tackling response rate through a different lens.
04 · Data-driven design

Users who message on day one are 2× more likely to stay active

During the process I learned SQL and put together 60+ charts with the data analyst, plus 8 user interviews, to understand current response performance and find the factors that could improve response rate.

60+ charts built with the data analyst covering response rate, listing age, and messaging activity
59%
of seekers never send a message on their first day
37%
Stay active —
no message on day one
+30 pts
67%
Stay active —
messaged on day one

Sending a message on day one makes users roughly a third more likely to stay active — a clear, high-leverage moment to design toward.

05 · Ideation & prioritization

I facilitated ideation & prioritization sessions

From the data findings, I ran FigJam sessions with the team to brainstorm causes and solutions, then facilitated prioritization into a roadmap — including a dedicated session on how to encourage a first message.

FigJam boards: response rate data findings, brainstorming and prioritization, dead profile next steps, and first-message ideation
06 · Design strategy

Built messaging into onboarding, and made chat visible everywhere

Previously, care seekers struggled to understand how to hire, and care providers struggled to understand how to apply. The new onboarding builds in message capability and user education; a message button and status now live right on the profile card and directory page.

Help users send the first message: previous vs. new onboarding flow with built-in messaging
Make messaging visible everywhere: previous experience vs. redesigned experience with message CTA on every card
07 · Post-launch feedback

"I felt that the message flow was seamless. It's easy to use and convenient. I was able to answer all of the questions and get a feel of what it was before I got to the profile section."

— Care provider