ShowStop AI
Human-AI Interaction
UX
ShowStop AI is an AI-powered platform that helps creators and brands turn TikTok and Instagram trends into actionable content briefs. The system analyzes real-time social signals and translates them into structured strategies for content production.
My Role
Product & UX Designer
Timeline
May 2025 - Nov 2026
industry
SaaS, AI Tech, Content Marketing
outcome
3X
User Engagement
25%
ad open rates
87%
Task Completion Rate
2.5s
Average Load Time
deliverables
Try the live demo · Skip to the dashboard as Maya ↗
Problem
Creators struggled to translate trend analytics into clear content strategies.
Content creators can spot a trend in seconds, but still don't know what to do with it. Whether it fits their brand, when to act, how to turn a 15-second clip into an actual content plan. The tools they already rely on surface plenty of data but stop exactly where the real work begins: turning a trend into a decision.
Walking creators through their existing process, the breakdown happened in the same place every time: between Evaluation and Adoption. They could recognize a trend and understand why it worked, but hard with translating it into an executable content plan.
Market research
Everyone analyzes. No one acts.
I mapped eight tools creators already use to see where the real gap was. Most nail creative analysis or fatigue detection on their own, almost none connect that signal back to what to make next.
insights
The gap isn't data. It's translation and action.
Creators don't need another dashboard, they need a plan decision.
Speed matters more than depth. They just want to know what to make next, not another layer of analysis.
Discovery and production of the contents live in completely disconnected tools, so even a strong trend signal dies before it becomes content.
Design Opportunity: A system that translates trend signals directly into content actions, not another place to look at data.
solutions
How might we turn a trend a user understands into a plan they can execute in one step?
Instead of sending creators back out to a separate planning tool once they'd found a trend, I designed ShowStop to fold discovery and creation into a single flow. Recognizing a trend and acting on it now happen in the same place.
Design
Feature 01
Manual templates saved formatting time but not decision time, and creators still had to do the thinking themselves. I designed the brief to be AI-generated: it reads a trend's signals and turns them into a structured draft in the moment for a creator opens it. It reduced content planning time from hours to minutes.
Feature 02
Creators already bookmark trends elsewhere and forcing manual re-import would break onboarding right when retention is most fragile. We created a browser extension that auto-syncs existing bookmarks: it pulls a creator's saved trends straight into ShowStop, no setup required.
Feature 03
Raw views only flagged a trend after it had already peaked. I designed a dashboard ranking to run on reach, engagement velocity, and audience fit instead. It surfaces momentum while a trend is still climbing. Creators can catch trends before they peak, not after.
Feature 04
Comparing views, engagement, virality, and rank at once cluttered early card layouts that overwhelmed creators. I designed the view as a table with progressive disclosure. It stays lightweight by default and reveals deeper analytics only on hover. It will cause less cognitive load but with same power-user detail underneath.
BEFORE
NOW
Impact
"App downloads 3X'd the day after we went viral on TikTok with a ShowStop created brief."
Collapsing discovery, evaluation, and creation into one AI-generated brief is where the biggest gains showed up: turning a four-tool process into a single sitting drove 87% task completion, and content built from real trend signals traveled further with 3X user engagement, 25% ad open rates.
reflection
Speed and depth don't have to trade off.
Creators needed to catch a trend fast, but an AI-generated plan that skipped depth to save time wasn't actually usable. The two needed to be designed together, not chosen between.
Efficiency isn't the only thing creators are optimizing for.
Underneath "save me time" is really "help me grow", speed only matters if it also gets them closer to what actually makes content perform.
AI should accelerate the work, not take over the authorship.
Automating the brief sped up planning, but creators still needed room to adjust tone, pacing, and voice.
The real shift was from data visualization to decision-centered design.
Early versions of ShowStop looked like a dashboard, more charts, more metrics. The insight that stuck was that creators need decisions, not dashboards, which meant redesigning around the moment someone acts, not the moment they look.
next step
Making trend signals legible without vision
The trend evaluation interface leans on visual density. The scanning views, virality, and engagement at a glance works well for sighted users, but breaks down for anyone relying on a screen reader or non-visual browsing.
