Our suite of AI-powered tools revolutionizes how surveys are conducted, analyzed, and interpreted. From generating real-time probed questions to voice-based responses, relevancy scoring, and automated coding, these tools are designed to enhance efficiency, precision, and insights in every step of the survey process.
AI-led ProbeMe is an intelligent moderation platform that enables rich and engaging conversations with participants. Acting as an AI moderator, it actively listens, responds, and asks relevant follow-up questions based on participant input, ensuring insightful and dynamic interactions.
Communicates with participants using natural, human-like speech.
Dynamically generates tailored follow-up questions based on responses to uncover deeper insights.
Adjusts in real time to participant input, maintaining relevance and engagement throughout the conversation.
Suitable for both online quantitative surveys and qualitative in-depth interviews.
Speaks and understands any language, with real-time translation and transcription.
Conducts multiple interviews simultaneously without compromising quality.
Very less time to initiate the qualitative research and start fielding, subsequently free up the researcher’s time to perform more complex task.
Built-in analytics dashboard provides insights, key theme extraction, and sentiment score directly from conversation transcripts.
Evaluates both the quality of the conversation and the depth of participant responses.
Qualitative studies including in-depth research : ProbeMe works in both mode either stand-alone or integrated with traditional research studies
Feedback collection: Automated way to collect the feedback data on product, services, or enhanced offerings basis a brief questionnare done on mobile devices
Business research requiring in-depth AI probing with tailored follow-up questions basis responses from previous questions
Consumer Insights team seeking more granular verbatim data with quick insights however don’t wish to deploy traditional moderator for qual probing
AutoVerb is an AI-powered tool designed to generate code frames and coded data for open-ended survey questions. Leveraging advanced text-based AI algorithms, it creates precise mappings that align with the survey’s objectives, domain, and question context.
Automatically generates and maps code frames, reducing manual effort in coding open-ended responses.
Ensures generated code frames are relevant to the industry and survey objectives.
Processes verbatims in real time, enabling faster analysis and decision-making.
Uses AI algorithms to maintain uniformity in coding across multiple surveys and domains.
Produces coded data, making it easier to extract meaningful trends and patterns from responses.
QUIQ is a smart tool that assigns a Relevancy Confidence Score to open-ended survey responses in real time. With a score ranging from 0.0 to 1.0, it evaluates how relevant and meaningful a respondent's answer is to the survey question, offering an objective measure of response quality.
Quickly identifies on-topic, meaningful responses versus irrelevant or superficial ones.
Enables researchers to focus on high-quality data, saving time on manual reviews.
Provides instant scores during surveys, enhancing response evaluation as it happens.
Helps surveyors assess response quality for better insights and decision-making.
SpeakSurvey is a versatile AI plugin that transforms traditional surveys into voice-based experiences. It seamlessly integrates with survey platforms to read questions aloud and capture responses through speech interpretation, making surveys accessible and convenient.
Enables respondents to complete surveys using speech, enhancing accessibility and ease of use.
Allows respondents to fill surveys effortlessly while on the go, especially on mobile devices.
Quick and simple setup for seamless compatibility with multiple survey platforms.
Reads questions aloud and accurately records respondent answers, saving time and improving engagement.
Ideal for diverse survey environments, ensuring a modern and interactive respondent experience.