Conveo.ai

"We want to interview 300 consumers in the UAE... By next week." Finding good participants is hard. Too many vendors. Inconsistent quality. Lost time. Data Diggers is now live on Conveo. Our 10th panel partner. Adding 2M+ participants across 30+ markets. B2C and B2B and very strong in the Middle East. That brings Conveo's recruitment network to 250M+ participants globally, alongside Cint, Toluna, Rakuten, Bilendi, Norstat, Sago, NewtonX , Respondent io, and User Interviews. Book directly from the platform. One workflow. No extra vendors. Maximize quality, trust, and coverage. Welcome to the ecosystem, DataDiggers 🤝

If you grow fast, things break. Servers go down. Security gaps open. Cloud costs spiral. The fix is not a tool. It's a person. A really reliable person. Hiten Kacha just joined Conveo as IT Manager. 18 years across every topic that matters. He knows what he's doing. His job: keep everything running. Secure. Scalable. Invisible. When Hiten does his job well, nobody notices. That is the point. We noticed when we hired him. Welcome to the team. 🧡

Consumers now trust AI more than friends and family 🤯 That’s one of the standout findings from our 'AI-Powered Shopper Study', based on in-depth interviews with 330 consumers across 8 countries. Join our LinkedIn Live tomorrow to hear how AI is reshaping shopping journeys — and what brands can do to keep up ↓ linkedin.com/events/7391779…

The most trusted advisor in shopping? It’s not human 👀 Our study with 330 consumers across 8 markets shows AI tools now outrank friends, family & store staff for shopping advice. Dec 3: Join our expert panel for more insights like this. Reg 🔗 buff.ly/zQK5aTP #ConsumerInsights #AIShopping #AgenticCommerce #ConsumerTrends

New data drop: 39% of consumers say AI tools strongly influences their shopping decisions 🤖 From discovery to purchase, AI is rewriting each step of the buying journey. Check out more insights from our Global 'AI-Powered Shopper Study' on The Prompt @Greenbook ↓ greenbook.org/insights/the-p…

We don’t need faster research. We need living research. For years, our industry chased speed: automated surveys, real-time dashboards, always-on trackers. We got speed, but not confidence. Now the shift is deeper. AI-led Research Platforms are able to 1) hear thousands of real voices at once 2) link every stat to its original evidence The next phase? 1) build out an insights library that functions as a company-specific training library 2) know when data goes stale, and trigger new research automatically to keep it fresh That’s a new operating model for insights: From publishing decks → to powering decisions. From “did we ask?” → to “does the model still hold?” It’s a quieter, smarter kind of revolution, and it’s already happening. Full article here → g.org/insights/the-p…

Most research feels like work. Sarah Snudden, Head of US Consumer Insights at JDE Peet’s, found a way to make it feel like play—while pulling richer data in hours, not weeks. Her team uses conversational qual to: ⚡ Keep up with the speed of business 💡 Get depth quant can’t provide 🎤 Leave respondents saying “I loved this” As Sarah puts it: “It’s karaoke-style qual: fun, vibrant and wildly engaging.” Full story, see comments #ESOMAR #iiex #mrx

15-min talk at #TMRE with Sarah Snudden from JDE. Took out the most important clip! #Multimodal gets you to the next level of depth in insights vimeo.com/1131840641/d19…

Data without context is dangerous. Dashboards point to the change. Surveys hint at the preference. But only qual explains the decision. Why did the ad flop? Why did the “winning” concept fall flat in real life? Why did “simple” onboarding frustrate users? Because numbers can’t capture tone, emotion, or hesitation. People can. See link to article in the comments.

7 signs you’re ready for modern qual 🚨 - The what is clear, the why is missing. - Response rates keep dropping. - Open ends aren’t giving depth. - Big bets lack context. - Data → decision takes weeks. - Stakeholders want stories, not stats. - Your team spends hours cutting quotes. If that’s your world… surveys aren’t keeping up. Multimodal qual (voice, video, AI) helps you scale depth without slowing down. See link to article in the comments.

I’ve lost count of how many times I’ve heard: “Testing slows us down. Let’s launch and learn.” And then… the campaign misses the mark. Teams scramble. Budgets bleed. Launches stall. It turns out: skipping research is the slow path. Insight-first teams move faster. Why? They get clarity upfront. They revise less. They launch sooner. Their conversion rates are higher. Testing isn’t overhead. It’s the cheat code for faster, smarter growth. Read more in the linked article (See comments)

Dieter sees it happen all the time: “Researchers get so many requests. They’re all coming in their way. They really have to pick and choose which ones they’re gonna go to and which ones they just don’t have time for.” It’s not that the other requests are bad. They just don’t have the capacity. And that’s the opportunity. “We really believe at Conveo that with an AI assistant or copilot, the number of research you can do as a company is gonna go tenfold. Let’s say you have 100 requests — or 1,000. Classically, you’d maybe do 10 to 15%. We want to get that number to 80 or 90%.” Not by adding pressure. But by removing the blockers. 💡 That’s how you scale truth. That’s how you stop flying blind.

A Fortune 500 team spent six figures on an AI dashboard. Weeks later: more screenshots, same decisions. What flipped the script: - Conversational AI that asks smart follow-ups - Instant themes with confidence scores - Clips leaders can review in 3 minutes and sign off 🎯 The selection framework + comparisons: conveo[dot]ai/ai-qual-works

Your qual backlog isn’t a research problem. It’s a cycle-time problem. Old stack: 7 steps, weeks of coordination, 40–60 hours of manual coding. New stack: async interviews, automated theming, video-linked evidence in hours. We break it down across speed, cost, depth, and data quality — with workflow maps you can steal. Full comparison: conveo[dot]ai/ai-vs-trad

🚨 What does research debt look like? Not enough time. Too many requests. Only the “critical” projects make the cut. Everything else? Slips through. Quietly. Repeatedly. “Teams of 20–30 serve orgs ten times their size. With an AI copilot, research capacity goes tenfold — from 10–15% of requests to 80–90%.” — Dieter That’s the unlock. Not just doing more. Doing what’s been impossible until now. ⚡ Catch the quiet questions. Answer the edge cases. Build with signal instead of instinct.

Your execs don’t want raw transcripts. They want clarity, speed, and security they can trust. The Ultimate Guide covers: - ROI math to win finance - Security and SSO checklists to satisfy IT - Insight libraries that keep leadership aligned Link here: conveo[dot]ai/ai-guide

Welcome, time traveler. If you're watching this, you’ve just walked into a consumer insights department that no longer functions like the one you knew. 🕰️ Here’s what changed. “Using the old methods with the superpowers Conveo gives you is tremendous.” “I can’t see a world without AI-led insights.” What to expect: Interviews run 100x faster Personas talk back Storytelling starts itself Nobody waits 6 weeks for data Humans still run the show—but with bionic intuition Warning signs you’re still in 2023: Requests pile up Insight decks age before they’re read Researchers spend more time cutting video than shaping decisions In this world, insight isn’t a bottleneck. It’s a force multiplier. Proceed accordingly. (And leave the clipboards behind.)

The hidden cost in qual isn’t moderation fees. It’s the weeks of delay. Every extra week = higher opportunity cost, missed windows, slower pivots. AI-moderated research shrinks cycles from months to days. ROI benchmarks and framework: conveo[dot]ai/roi-2025

“People get into the flow of answering — just like when you’re talking to a person.” They don’t pause. They don’t ask “Is this live?” They just talk. And the AI? It listens. Picks up tone, phrasing, intent. Knows when to nudge. When to go deeper. It’s trained on scale — but it feels personal. 🤖 “You can instruct it to talk naturally. It asks smart follow-ups.” What Maarten finds fascinating is not just what people say but how naturally they say it. “It’s super interesting to see that in the recordings. Super fascinating.” 🎧 The future of qualitative research doesn’t sound robotic. It sounds like this. 💬

Traditional qual didn’t die of natural causes. It was killed by slow timelines and 5-figure invoices. AI tools are rewriting the playbook: 1. Hours, not weeks 2. 75% lower costs 3. Honest, global conversations at scale We just broke down the 15 best AI qual tools for 2025 (yes, including friends and competitors). Full guide here: conveo[dot]ai/ai-tools