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This quantilope report covers how today's researchers are moving to a "Do-It-With-AI" approach: one that still provides the benefits of hands-on ownership, without sacrificing quality or depth of insights.
Key Takeaways:
- Researchers favor DIY research as a solution that often saves time and money, but sometimes sacrifices the quality of insights.
- The research landscape is moving toward a Do-It-With-AI (DIA) way of working, where researchers still get the hands-on access to their insights, but with the ongoing guidance and assistance from AI agents.
- Researchers can leverage AI to go beyond basic DIY survey templates, eliminate the "expertise" gap, and stay agile without the burnout.
- quantilope's take on DIA is DIQ: Do-It-With-quinn (quantilope's integrated AI Research Partner). With quinn, researchers get always-on access to an AI partner for survey creation, logic checking, data cleaning, charting, report creation, and dashboard customizations.
How AI is redefining the standard for strategic market research
For years, the market research industry has been defined by a frustrating trade-off. You could "Do-It-Yourself" (DIY) to save time and money, often settling for rigid templates and data that was just "good enough". Alternatively, you could hire an agency for deep, rich insights, but you’d be forced to wait weeks for a report that might arrive only after consumer behaviors have already shifted.
In today’s market, neither of these options is sufficient. The speed of business has accelerated to a point where "good enough" is no longer a competitive strategy. To keep pace with the modern consumer, insights teams need a new way of working.
Introducing the era of DIA: Do-It-With-AI
We're now in an exciting new age of research where teams are shifting from the manual labor of DIY to a strategic Do-It-With-AI (DIA) approach. In leaning on AI as an asset, teams still get the speed and ownership they're used to with DIY, but can go beyond rigid templates, simple outputs, and insights that lack actionability.
At quantilope, we're calling this new approach DIQ: Do-It-With-quinn.
quinn is quantilope’s integrated AI Research Partner, designed to amplify human expertise rather than replace it. This isn't about letting a machine take the pilot’s seat; it’s about providing researchers with a "second set of eyes" and an automated engine that handles the heavy lifting.
Why the "Human-Led, AI-Powered" model wins
The transition to a DIA model removes the traditional bottlenecks that slow down insights teams. In our report, Human-Led, AI-Powered: The New Standard in Research, there are three critical phases where AI transforms the workflow:
- From survey objective to draft in moments: In a traditional setup, starting a survey is often the hardest part. With quinn, you can use natural language prompts — like testing an ad for a specific demographic — and watch as AI drafts a full study with relevant attributes and advanced methods in minutes.
- Instant technical verification: You no longer need to be a statistical wizard to run complex methodologies like Conjoint or MaxDiff. quinn automatically checks for logic errors, identifies bottlenecks in survey flow, and flags leading questions before you ever hit "launch."
- Automated synthesis and reporting: Reporting is typically where the most manual labor occurs. A DIQ approach allows for one-click charting and automated executive summaries that read through final data to extract key themes instantly.
What a Do-It-With-AI approach could mean for you
The true value of an AI-powered partner isn’t just speed—it’s the mental space it creates for the researcher. By letting quinn handle tedious tasks like data cleaning, formatting, and multilingual adaptations, you are free to focus on the strategic "So What?" that connects data to business growth.
The future of research isn't just doing it yourself; it's doing it smarter.
Download quantilope's full report, "Human-Led, AI-Powered: The New Standard in Research," to learn how an AI-driven workflow can help your team deliver high-quality, actionable insights in days rather than weeks.
