Background — When Expectations Surge, Misunderstandings Grow
When Sora 2's astonishing video-generation capabilities captured the world's attention, a familiar pattern emerged. Industry conversations quickly converged on a single narrative: perhaps OpenAI was quietly shaping an "AI-native social platform." The product's design — from an endless content feed to interactive video mechanics and collaborative features — seemed to support the idea.
But one newly founded AI startup noticed the gap. Almost none of these discussions reflected what actual users thought. The loudest voices belonged to the industry, not the audience. And while Sora's reach is undeniably global, product and market decisions must remain grounded in how users behave locally. Without comparable insight across regions, those decisions risk drifting into speculation.
The team wanted clarity. They wanted to understand what an AI-native social platform truly meant to users, whether people were open to adopting it, and how they interpreted its role in their lives. Achieving this required something traditional research could not provide: the ability to gather large-scale, cross-cultural interviews in hours and distill them into insights that are both nuanced and actionable.
This is where Tapien Moderator's strengths came into focus — transforming global user signals into grounded local insight with remarkable speed.
Research Launch
Global User Coverage — Deep, Multilingual, and Fast
Sora's users span continents, yet human-led research typically stays local. It is bound by time, geography, and the limitations of interviewer stamina. As a result, insights often reflect only a slice of the real audience.
Using Tapien Moderator, the team completed more than 100 interviews across seven cities in a single day. The platform automatically matched participants from different regions, carried out interviews in their native language, and applied the same structured approach everywhere. Dynamic probing ensured that each conversation went beyond surface opinions and into the underlying motivations driving user behavior.
This combination — global reach, rapid execution, and depth that does not vary by country or interviewer — created a view of the user landscape that traditional research could never achieve.
Unbiased Depth — A Clearer Path to Real Motivations
The goal of the study was not simply to collect quotes. It was to uncover the reasoning and emotion behind user behavior.
Because the AI moderator never tires, never carries over expectations from the previous interview, and never shifts tone based on mood, every user started on equal footing. The system picked up subtle signals in tone and wording, extended the line of questioning naturally, and guided users from surface-level reactions to deeper, more reflective explanations.
Where human-led interviews often show diminishing depth as the day goes on, the AI kept each conversation sharp and consistent. The resulting insights were structured, clean, and closer to how users truly think.
Insights
With every interview reaching a comparable level of depth, the team was able to observe patterns that held true across borders. The findings challenged industry assumptions and revealed a remarkably coherent global mindset.
Insight 1 | Sora Is a Creative Playground, Not a Social Destination
Across markets, most users described Sora as a place for personal creativity, inspiration, and casual play. Sessions often lasted half an hour or more — yet interactions with others were almost nonexistent. Many users said openly that they had never interacted with anyone on the platform and had no intention to.
As the AI probed deeper, the reason became clear: people simply did not see Sora as a social environment. Their mindset entering the product was one of exploration, not expression or communication.
Insight 2 | The Content Feels "Too Unreal" to Represent the Self
The strongest barrier to social use was the nature of the content itself. Users consistently described Sora outputs as surreal, exaggerated, or too artificial to represent who they are in real life. Only a small minority had ever interacted socially, and many said they would not share Sora-generated content with friends.
Beneath these statements was a deeper truth: identity expression is central to social behavior, and Sora's output does not support it. Without a sense of "this represents me," there is little incentive for users to share or engage socially.
This sentiment cut across cultures and regions, suggesting that it is not tied to local norms but instead to the product's inherent aesthetics.
Insight 3 | Users Come to Sora to Explore — Not to Connect
When asked why they did not post or interact more often, users mentioned that their friends were not on Sora, that the content felt disconnected from real life, and that other platforms provided better social experiences. More importantly, many said they were there simply to browse, generate ideas, or entertain themselves.
Traditional research might interpret this as a typical early-stage adoption challenge. But the deeper insight was that users never arrived with social intent in the first place. Sora's natural role in their lives is personal and exploratory.
From Insight to Strategic Clarity
These findings allowed the startup to move past industry speculation and anchor its understanding in real user behavior. Across all markets, the same picture emerged:
- Sora is seen as a creative tool rather than a social platform
- Its experimental content weakens identity-driven sharing
- Users behave in ways that are exploratory rather than expressive
Tapien Moderator enabled the team to see these patterns clearly and consistently, offering a user-grounded baseline for product and market decisions. More importantly, it provided a research model that can be repeated as new AI-native products emerge — one that begins with global perspectives, translates them into local insight, and ensures that every conclusion is rooted in real user psychology rather than external noise.
In a world where AI products evolve rapidly and narratives shift even faster, this capability becomes not just a competitive advantage, but a foundation for long-term clarity.