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    Redesigning Podcast Analytics at Acast

    Redesigning Podcast Analytics at Acast

    Rebuilt Acast's podcast analytics for creators: +100% mobile traffic, -58% tab bounce rate, +289% use of the performance tab

    Context

    At Acast I designed the creator tools and the mobile listening app.

    While interviewing creators about publishing, I kept hearing problems with Insights, the analytics product that shows them what's resonating and how they're earning.

    It hadn't been touched in a while, so I proposed researching its current state.

    Acast Insights.
    Acast Insights.

    Internal research

    I began internally, interviewing stakeholders and running cross-team workshops to pull together what we already knew: support tickets, technical constraints, open ideas.

    I read the Google Analytics data for actual behavior and benchmarked competing analytics tools.

    Workshops in Miro to gather existing data and ideas.
    Workshops in Miro to gather existing data and ideas.

    User research

    With no prior research on the platform, I recruited six creators from varied backgrounds and interviewed them about how they actually use Insights.

    To bring the team along, I had them listen in live and shared empathy maps and recordings in Slack.

    Empathy maps and behavioural mapping.
    Empathy maps and behavioural mapping.

    Cross-analyzing the interviews surfaced clear behavioral patterns, which I modeled into three personas.

    Three user personas.
    Three user personas.

    Prioritization

    With the personas, problems and constraints shared, I ran effort/impact workshops to prioritize together. We picked three quick wins to ship first and parked a few longer bets for later.

    I then ran an ideation workshop on the quick wins. The problems we tackled first:

    • Lack of mobile responsiveness
    • Unclear site navigation
    • Table graph component is confusing
    Effort / impact & MoSCoW prioritisation workshops in Miro.
    Effort / impact & MoSCoW prioritisation workshops in Miro.

    1. How might we improve mobile responsiveness?

    Mobile was 21% of traffic, yet the platform didn't adapt to it.

    The menu and pagination wouldn't shrink, the login page stayed zoomed out, and padding and type never scaled, so people had to pinch and scroll sideways to read.

    The menu and login page did not adapt to mobile sizes, causing users having to zoom in on content.
    The menu and login page did not adapt to mobile sizes, causing users having to zoom in on content.

    I wireframed fixes for the menu first, reviewed directions with the design team, then detailed the designs and prototyped them for usability testing.

    Wireframes for menu and pagination.
    Wireframes for menu and pagination.
    Responsive menu, login page and font scales for desktop, tablet and mobile.
    Responsive menu, login page and font scales for desktop, tablet and mobile.

    2. How might we increase feature findability?

    Creators wanted to track episode performance over time, and some were exporting to their own Excel files, yet most never found the comparison feature already in the product.

    It sat last in a long submenu under an unclear name, drawing just 1.8% of visits. My hypothesis: a clearer name and a higher position would fix discoverability.

    I renamed 'Compare' to 'Performance', moved it to the second slot, and folded behavior and demographics into a single 'Audience' tab to shorten the menu.

    Old submenu on top and new structure below.
    Old submenu on top and new structure below.

    3. How might we improve table graph usability?

    The comparison ran on a table-graph component used all over the platform, so fixing it paid off broadly. People struggled to understand how to use it.

    They couldn't find the dropdown to add items, and each one had to be added by hand from a long list.

    I redesigned it to show every episode up front with a sensible default already plotted, so people could scan and sort to decide what to compare.

    The dropdown was missed by users, and they couldn't search or easily overview episodes.
    The dropdown was missed by users, and they couldn't search or easily overview episodes.

    I added search for large catalogs and a column showing each episode against the median, a one-glance read of what's over- or under-performing, which also drove the default selection.

    Displaying all items directly checkboxes for plotting.
    Displaying all items directly checkboxes for plotting.
    New table graph design for episode performance.
    New table graph design for episode performance.

    Usability testing

    I built desktop and mobile prototypes in Figma, reusing interactions and assets from earlier prototypes for realism.

    I then ran five usability tests with creators and adjusted the designs from what I saw.

    Prototypes in Figma.
    Prototypes in Figma.

    Implementation

    I collaborated closely with the developer throughout implementation, adjusting designs along the way for technical constraints and effort. He was familiar with Figma at this point and could easily inspect my pages, and we often had brief syncs.

    Implementation.
    Collaboration.
    Design and implementation.
    Design and implementation.

    Results & Impact

    +100%

    Mobile traffic

    -58%

    Tab bounce rate

    +289%

    Performance tab usage

    Each change moved its metric, and creators could read their audience data more easily.

    • Improved responsiveness resulted in an increase of mobile traffic from 21% to 42% (+100%).
    • Usability improvements to the compare table graph reduced bounce rates on the tab from 41% to 26% (-58%)
    • Renaming the compare tab to performance and moving it to the second position increased page visits from 1.8% to 5.2% (+289%)
    Image of Google Analytics.

    Endorsement

    You don't need to look past Oscar to find a skilled, thoughtful, ambitious, and humble designer. I recommend him without hesitation.

    Marin, Head of Product Design at Acast

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