To understand user scenarios, learn more about our users' habits, and identify the problems they face, I chose a combination of quantitative research methods.
Semi-structured interview
15 mins
- How often you search for event tickets?
- Do you plan your event ticket purchases in advance?
- What types of events do you usually buy tickets for?
- Who do you usually buy tickets for? Yourself or someone else?
- What is the usual occasion for buying tickets?
- What criteria are important to you when choosing an event?
- Where do you search for and buy tickets? If online, which services have you used before?
- Have you encountered any issues when purchasing tickets online?
User testing
20 mins
I asked users to visit the event listing website, complete a few tasks and comment on everything they do.
- Purchase two tickets for the concert of the band "Zveri" on December 3rd.
- Find concerts happening on December 11th.
- Select a concert from the carousel at the top of the page and purchase a ticket for it.
- Purchase a ticket as a gift for your friend's birthday.

User testing.
Feedback
5 mins
After finishing user testing I asked respondents to share their impression of working with the service, what they liked and did not like.
User Flow
After analyzing the results of the user interviews, I came up with the typical user flow.
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User flow.
Interview Results

Raw data and interview results.
After analysing interviews I highlighted confirmed hypotheses:
- Users are unable to filter the results, which causes them to get lost in the list of events.
- Users encounter issues with the date scroll component when searching for future events.
- Users do not understand how to purchase a ticket as a gift.
During user testing I also discovered a couple of user problems that need further research since only 1-2 people mentioned them:
- users could not find the support service;
- users do not expect to see an additional fee when purchasing tickets.
Solutions
Together with the product manager, we prioritized key issues, and I updated the UI accordingly.
1. Users couldn’t filter by genre → Added a genre filter to simplify event discovery.
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UI before without genre filter.

UI after with genre filter.
2. Users struggled to reach future dates → Introduced a date picker for faster navigation.
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UI before with arrows helping to navigate through dates.

UI after with a date picker.
3. Users struggled to find support → Introduced a floating button that opens a chat with support.

UI before with no support button.

UI after with a floating button opening chat with support.
Outcomes&Impact
📈 Increase of payment conversion rate by 13%.
😊 Increase of Customer Satisfaction Score (CSAT) from 74% to 92%.