Editorial Team
Published on:
May 14, 2024
Editorial Team
Published on:
May 14, 2024
For market researchers, AI has quickly transformed from a futuristic concept to an essential tool reshaping how businesses understand customers, test concepts, and refine their strategies. According to recent industry reports, organisations using AI-powered research methods are gaining insights 4x faster while reducing research costs by up to 60% compared to traditional methods.
From automating qualitative research to blending rich human insights with scalable AI-driven analysis, innovative research platforms are setting new standards for what's possible. Whether you're conducting concept testing, customer journey mapping, or exploratory research, there's an AI solution designed to meet your specific needs.
This guide will help you navigate the landscape of AI research tools and agencies in 2025, with a focus on finding the right match for your unique research objectives.
Before exploring specific solutions, it's important to recognise that research objectives vary widely across organisations and projects:
Exploratory Research: Understanding emerging customer needs, pain points, and behaviours
Concept Testing: Gathering feedback on new product ideas, messaging, or designs
Customer Experience: Mapping journeys and identifying friction points
Market Monitoring: Tracking brand sentiment and competitive positioning
Global Research: Conducting multilingual studies across diverse markets
The best AI research solutions excel by addressing specific combinations of these needs, with some offering specialised capabilities while others provide more comprehensive approaches.
When evaluating AI research solutions, consider these key criteria:
Conversational AI – The ability to conduct natural, engaging interviews rather than just collecting static survey responses.
Blending Qual and Quant – Tools that combine the depth of qualitative insights with the scale of quantitative research.
Advanced Language Capabilities – Multilingual AI solutions that can handle global research seamlessly.
Speed and Efficiency – AI-powered tools that cut the time needed to gather and analyse insights.
Human-Like Understanding – AI that captures not just what people say but how they say it, providing deeper context and emotional nuance.
Tellet stands at the forefront of the AI research revolution by addressing one of the industry's most persistent challenges: how to conduct genuinely insightful qualitative research at quantitative scale.
Tellet's AI-powered interviewer creates conversational research experiences that feel remarkably human. Participants engage in natural dialogue rather than simply answering static questions, resulting in voice-based responses that deliver insights 300% longer than standard open-ended survey answers.
This conversational approach unlocks several key advantages:
Depth at Scale: Conduct thousands of in-depth interviews without the logistical challenges of scheduling or the limitations of traditional qualitative sample sizes
Global Reach: Research across 57 languages with consistent methodology and analysis
Rich Emotional Context: Capture not just what participants say, but how they express themselves
Rapid Insights: Accelerate the research timeline without sacrificing depth or quality
Tellet excels across multiple research scenarios, including:
Concept Testing: Gather nuanced feedback on early-stage ideas with the depth of focus groups but at survey scale
Customer Journey Mapping: Understand emotional highs and lows throughout the customer experience
Exploratory Research: Uncover unexpected insights through conversational AI that follows interesting threads
Product Development: Test multiple iterations quickly with detailed qualitative feedback
For organisations seeking to understand their customers at a fundamental level—not just tracking metrics but uncovering motivations, emotions, and unmet needs—Tellet offers a breakthrough approach that merges the best aspects of qualitative and quantitative methodologies.
The AI research landscape includes several other innovative players, each with distinctive approaches:
Kantar has long been a leader in research and insights, and their investment in AI-powered tools has enhanced their ability to process large-scale qualitative data. Their AI-powered analytics help businesses track brand sentiment, customer experience, and emerging trends at speed.
Ipsos integrates AI into its research methodologies, leveraging machine learning to analyze customer feedback and social media data. Their AI-enhanced text and voice analytics tools provide deeper insights into consumer sentiment and emerging behaviors.
Known for its expertise in consumer data, NielsenIQ has embraced AI to process massive datasets, helping brands make sense of customer behavior in real time. Their AI-powered platforms provide predictive analytics, helping businesses stay ahead of shifting trends.
Forrester combines AI and expert analysis to provide deep strategic insights. Their AI-enhanced tools track market dynamics, consumer expectations, and competitive landscapes, making them a trusted partner for businesses navigating complex decisions.
CoLoop focuses on AI-driven research collaboration, enabling teams to generate insights efficiently by automating data collection, synthesis, and pattern recognition. Their AI-enhanced workflows make it easier to extract meaningful findings from qualitative and quantitative research.
Perplexity Deep Research leverages AI to provide in-depth research analysis, helping businesses and researchers uncover hidden insights across vast datasets. Their AI-driven approach enhances exploratory research by connecting dots between seemingly unrelated information, allowing for richer and more nuanced conclusions.
Finding your ideal AI research solution depends on understanding your specific research objectives and priorities:
You need both qualitative depth and quantitative scale simultaneously
Your research requires understanding emotions and motivations, not just behaviours
You're conducting global research across multiple languages
You want to explore open-ended questions while still gathering structured data
Speed matters, but not at the expense of insight quality
You need advanced social media and online conversation monitoring
Your research is primarily focused on tracking established metrics
You require specialised industry-specific analytics
You need predictive modelling based on historical data
AI isn't just changing research methodologies - it's making research more human by automating the mechanical aspects while enhancing our ability to understand the complex, nuanced nature of human experience.
The most exciting developments are happening at the intersection of qualitative depth and quantitative scale. Solutions like Tellet are pioneering this approach, enabling researchers to understand not just what customers are doing, but why they're doing it - at a scale previously impossible.
As AI research capabilities continue to evolve, we can expect even more sophisticated emotional analysis, predictive insights, and cross-cultural understanding. For organisations committed to truly customer-centric decision-making, these tools aren't just nice to have—they're becoming essential to competitive advantage.
The right AI research solution depends entirely on your specific needs, objectives, and the types of insights that drive value for your organisation. If your research requires the depth of qualitative with the scale of quantitative, Tellet offers a particularly compelling approach worth exploring.
Interested in seeing how conversational AI can revolutionise your approach to customer insights? Book a demo with Tellet today and discover how AI-powered qualitative research at scale can transform your understanding of your customers and market.
Tellet uses AI to conduct and analyse consumer research interviews for faster, deeper and more affordable insights.
Want a free trial? Book a demo with us, or drop us an email – info@tellet.ai.