As I'm sure you can attest, every day we're inundated with new tools, new platforms, new solutions. It can be a bit overwhelming.
As we launch Panoplai and speak to more and more people, I've been hearing a lot of assumptions about what Panoplai is.
I’d like to take this opportunity to set the record straight and clarify what Panoplai is… and what it isn’t.
There’s a time and place for traditional long-form surveys. I've spent years in the insights industry, and I can't tell you how many 15-20 minute surveys I've seen. Panoplai isn't meant to replace those.
Rather, Panoplai can help you decide whether you want to take the deep dive into a longer survey — using actual user responses to guide your decision. Panoplai can help with up-front ideation pre-survey, further refinement post-survey.
Short-form surveys traditionally use a multiple choice format. But here’s the problem with multiple choice questions: you need to know in advance what the choices should be — before you ever see user responses.
But how do you know what the choices should be before you gather input from users? Panoplai addresses this limitation. Using Natural Language Processing, Panoplai will automatically segment out key topics, and will apply a level of "sentiment” analysis, really trying to understand what they are saying on the emotional level.
Focus groups are a great tool for ideation and refinement, especially when you need to dive deep into a topic. But sometimes that can be overkill. They are also incredibly time consuming, and expensive, and you often only get access to 6 or 10 people at a time. When you just need some qualitative “tidbits” at scale, Panoplai can be a great alternative.
Panoplai and social media analytics do share a lot in common. We both employ Natural Language Processing techniques (NLP) to help segment out responses. The difference is: with social media analytics, you don't always know who these people are, and whether they’re representative to the audience you're looking to segment. With Panoplai, you’re getting access to real, validated, representative audiences — and you’ll know who they are, since you’ll see up to 20 data points about each person.
While doing secondary research can be extremely useful, it’s not always going to give you the most valid data sources. The data doesn't belong to you, and it’s not always relevant.
Well, in our next posts, we'll dive deep into some of the segments that are applicable for Panoplai.
Not all synthetic data is built to last. At Panoplai, we create enriched datasets—AI-generated insights grounded in reality through three essential pillars: high-quality first-party data, optimized LLM integrations, and empirical validation. This ensures our synthetic audiences behave like real people, powering digital twins and decision-making with structure, accuracy, and trust.
Marketers have more data than ever—but instead of clarity, they’re drowning in fragmented insights. CRM systems, social metrics, NPS scores—each platform speaks its own language, making it impossible to see the full picture. The real problem? Too much data, too little connection. At Panoplai, we’re changing that. Imagine all your audience insights—past, present, and future—living in one seamless, intelligent ecosystem. No silos. No confusion. Just pure, connected intelligence at your fingertips.
Panoplai's AI-driven political research reveals key differences between Indian and U.S. voters. While Indian voters prioritize governance and policy execution, U.S. voters emphasize integrity and ideological loyalty. Using AI-driven multi-study analysis, Panoplai uncovers insights into leadership expectations, party loyalty, and voter trust, offering a transformative approach to political polling.
