
Keep Your Audience Watching by Fixing What Drives Them Away

Why Media and Entertainment Companies Choose AI User Testing
Acquire More Subscribers by Removing Sign-Up Friction
Your sign-up and onboarding flow determines whether a curious visitor becomes a paying subscriber. TheySaid captures the exact moments where new users hesitate, which plan options confuse them, and what information is missing before they commit, so you can fix the experience that converts interest into subscription.


Retain Subscribers by Fixing What Makes Them Churn
Subscribers who cannot find content they want, struggle with playback issues, or find navigation confusing do not always file a complaint. They cancel. User testing for media industry surfaces the friction eroding retention before it shows up in your churn metrics, giving you time to fix it.
Keep Product Teams Aligned on What Viewers Actually Need
Product, design, and engineering teams do their best work when priorities are grounded in real viewer behavior rather than internal assumption. TheySaid gives every team member direct access to evidence from real users so decisions stay focused on what actually improves the experience.


Launch Better Features by Testing Before Release
New content discovery algorithms, recommendation engines, and interface updates that skip UX research for media companies create expensive post-launch fixes during peak viewing periods. TheySaid lets you test and iterate before release so issues get caught while changes are still fast to make.
Validate Streaming Experiences Across Every Device Your Audience Uses
Your audience watches on smart TVs, mobile phones, tablets, and desktops. Usability testing for streaming platforms across device types reveals where the experience breaks down on specific screens, so you fix the right problems for the right context rather than optimizing for one device at the expense of others.

How Media and Entertainment Teams Use User Testing for Media Industry
Content Discovery and Search Testing
Watch real viewers search for content, browse categories, and interact with recommendations. AI captures where search returns unexpected results, which filters confuse viewers, and where recommendation algorithms surface content that misses the mark.
Onboarding and Subscription Flow Testing
See how new users navigate sign-up, plan selection, and their first session on your platform. AI identifies which steps create drop-off, what payment options they expect, and where the experience fails to communicate enough value to convert a trial into a paid subscription.
Video Player and Playback Experience Testing
Understand whether viewers can find and use playback controls, manage subtitles and audio settings, and navigate within and between episodes. User testing for video streaming apps at this level reveals the small friction points that compound into cancellations over time.
Cross-Device Experience Testing
Test the same critical flows on desktop, mobile, and tablet to compare how the experience holds up across screen sizes and interaction models. AI captures where mobile navigation breaks down, which controls are too small to tap, and where the desktop experience does not translate to a smaller screen.
Cancellation Flow and Retention Testing
See what happens when subscribers decide to cancel. AI watches real users navigate the cancellation flow, capturing what messaging failed to retain them, whether pause or downgrade options were visible, and what would have changed their decision to stay.
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FAQ's
Both. Share test links directly with your subscriber base through email, in-app messages, or direct links. Or recruit from TheySaid's panel with demographic and behavioral targeting if you need specific viewer profiles like cord-cutters, heavy streamers, or specific age groups.
Most media teams see patterns within 24 hours. AI analyzes sessions in real time so you can identify friction points and drop-off moments as viewers complete tests rather than waiting for all responses to come in.
TheySaid supports browser-based testing on desktop and mobile web. For native app and smart TV testing that requires recording within a downloaded application, TheySaid is not yet supported on those platforms. Mobile web versions of streaming platforms work fully today.
Yes. Build task-based test plans where viewers search for specific content types, interact with recommendations, and browse categories. AI captures where search and discovery breaks down and asks follow-up questions that reveal what viewers expected but did not find.
Continuous user feedback media platforms programs are supported through always-on distribution via in-app prompts, website embeds, and email sequences. Set up a standing project that collects in-app feedback for entertainment apps from real viewers on an ongoing basis rather than running research in isolated studies.
Yes. Share staging URLs or prototype links to test new feature releases, seasonal promotions, or content landing pages with real viewers before launch, so issues get caught while changes are still inexpensive to make.
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