Design Approach
Identifying the problem from data
As the sole Product Designer part of my responsibilities was monitoring our funnels and flows to see the overall conversion, activation and retention metrics. By observing our analytics MoM I saw that we had a broken funnel with a drop-off at key points in the user journey:
What I observed was that for our Researcher persona - one of the 2 core verticals of the platform - the drop off rate was massive even at their very beginning of their journey in using Pollfish. What was also alarming was the revenue generated by first time users.
Understanding the Researcher Persona
Insights from customer support
I partnered with the Customer Support Manager to get insights from support tickets and find opportunities to invest in on-boarding based on current pain points.
In addition, I partnered with the Product Manager to craft a survey and get direct feedback from bounced customers. We focused both on the sign-up page and on the rest of the journey.
Launching the survey, 60% of bounced customers responded and of those, 10% agreed for a phone interview. Some of the most significant insights were:
- “The sign up page doesn’t look trustworthy”
- “I am a Researcher and I couldn’t find how to sign up”
- “After sign up, I was left wondering in the dashboard”
- “After I paid I was directed to a blank page and didn’t know what to do!”
Insights from customer support
I partnered with the Sales Manager to get a better understanding of how they approach potential customers.
I participated in 3 personalized demos in order to pick up details on the type of language and keywords the customers use in order to explain the product and also get an understanding on what customers are looking for when searching for platforms like Pollfish.
What I discovered was:
- Customers would sign up in order to play around and discover whether they could target audiences by age, gender and other demographic criteria.
- They were very interested in the different question types that we offered as well as the Screening Question logic that we use.