Login Contact Us

VideoAI Frequently Asked Questions

What is Premise VideoAI?

Premise VideoAI is an extension of the existing Premise solution that supports end-to-end video sentiment analysis. It helps businesses collect, transcribe, analyze, and produce insights from video at scale. Using AI, Premise VideoAI can identify and quantify sentiment in videos, providing businesses with a deeper understanding of their customer’s opinions and emotions.

How does Premise VideoAI work?

Premise VideoAI uses deep learning to transcribe thousands of video surveys from diverse, representative Premise Contributors in short order. The results are analyzed for themes using Large Language Models (LLMs) and sentiment, including emotion categorization. Premise VideoAI insights also plot the intensity of positive or negative emotions on all major themes identified. Customers can drill into the themes and review individual submissions for deeper understanding.

What are the key benefits of using Premise VideoAI?

Compared to other methods of qualitative/quantitative research, Premise VideoAI has the following advantages (bringing together some advantages of intimate qualitative research with the scale of quantitative research):

  • Richness: Video allows participants of all literacy levels to express themselves candidly and naturally — in any language — leading to richer, more nuanced qualitative data.
  • Speed: Premise uses state-of-the-art, proprietary AI algorithms and generative Large Language Models (LLMs) to rapidly analyze each individual video and extract emotions, themes, and other insights. Findings from thousands of videos can be extracted, synthesized, and delivered in seconds.
  • Scalability: Premise’s deep experience in global data collection enables instant access to millions of responses from over 140 countries while maintaining high quality.
  • Representativeness: Premise’s contributor network is designed to be nationally representative in over 143 countries, ensuring insights are paired with detailed demographics and location data that give an unparalleled view into how people feel about a topic.
How long does it take to produce insights with Premise VideoAI?

Findings from thousands of videos can be extracted, synthesized, and delivered in just hours.

What kind of insights can I get from Premise VideoAI?

Premise VideoAI can provide you with a variety of insights into population opinions and emotions, including:

  • Overall sentiment
  • Common topics/themes
  • Key phrases and emotions
  • Demographic and location breakdowns
How much does Premise VideoAI cost?

Premise VideoAI is an extension of the Premise platform and is available for all existing and new customers to initiate with credits. To learn more about pricing, please contact us.

How does Premise VideoAI compare to traditional qual/quant research?

Traditional Qual/Quant Research

Premise VideoAI

Data Richness

Surveys can be limited in their richness. They typically rely on participants to provide written or verbal responses, which can be limiting.
Video allows participants of all literacy levels to express themselves candidly and naturally — in any language — leading to richer, more nuanced qualitative data.

Speed

Surveys and focus groups can be time-consuming to conduct and analyze. This can make it difficult to get insights quickly, especially when time is of the essence.
Premise uses cutting-edge, proprietary AI algorithms and generative Large Language Models (LLMs) to rapidly analyze each individual video and extract emotions, themes, and other insights. Findings from thousands of videos can be extracted, synthesized, and delivered in hours.

Scalability

Traditional qualitative research methods like interviews/focus groups are limited in their scalability. They can only be conducted with a relatively small number of participants, which can make it difficult to generalize the findings to a larger population.
Premise’s deep experience in global data collection enables instant access to millions of responses from over 140 countries while maintaining high quality.

Representative

Traditional qual methods are limited in their representativeness. They are often conducted with a convenience sample, which means that the participants are not necessarily representative of the population as a whole.
Premise’s contributor network is designed to be globally representative, ensuring insights are paired with detailed demographics and location data that give an unparalleled view into how people feel about a topic.

Data Richness

Traditional Qual/Quant Research

Surveys can be limited in their richness. They typically rely on participants to provide written or verbal responses, which can be limiting.

Premise AI-Powered Video + Voice

Video allows participants of all literacy levels to express themselves candidly and naturally — in any language — leading to richer, more nuanced qualitative data.

Speed

Traditional Qual/Quant Research

Surveys and focus groups can be time-consuming to conduct and analyze. This can make it difficult to get insights quickly, especially when time is of the essence.

Premise AI-Powered Video + Voice

Premise uses cutting-edge, proprietary AI algorithms and generative Large Language Models (LLMs) to rapidly analyze each individual video and extract emotions, themes, and other insights. Findings from thousands of videos can be extracted, synthesized, and delivered in hours.

Scalability

Traditional Qual/Quant Research

Traditional qualitative research methods like interviews/focus groups are limited in their scalability. They can only be conducted with a relatively small number of participants, which can make it difficult to generalize the findings to a larger population.

Premise AI-Powered Video + Voice

Premise’s deep experience in global data collection enables instant access to millions of responses from over 140 countries while maintaining high quality.

Representative

Traditional Qual/Quant Research

Traditional qual methods are limited in their representativeness. They are often conducted with a convenience sample, which means that the participants are not necessarily representative of the population as a whole.

Premise AI-Powered Video + Voice

Premise’s contributor network is designed to be globally representative, ensuring insights are paired with detailed demographics and location data that give an unparalleled view into how people feel about a topic.