V. MAVEN
Every tool on this platform so far has assumed a certain fluency: knowing which report type answers your question, which audience to select, which score to trust. That fluency is valuable, and it takes time to build. Maven exists for the moments when a team doesn't have that time, or doesn't need to become fluent in a research platform just to get an answer they can act on today.
Two Ways to Work With consumr.ai
consumr.ai has always given serious researchers depth and control across Quantitative and Qualitative Research, the reports, audiences, and scoring detailed throughout this section. That depth is exactly what a research team wants: full configuration, every variable exposed, nothing hidden behind an automated decision.
But most people who need a consumer answer aren't researchers. They're founders, CMOs, growth teams, product marketers, and brand managers moving quickly, who don't want to learn a research tool, they want clarity and a next step, in plain language, without waiting weeks. Maven is built for them: a Done For You layer on top of the same underlying intelligence, where the objective is what you provide, and the research design is what Maven works out.
Neither approach replaces the other. consumr.ai stays the home for full depth and manual control. Maven is where you go when speed and guidance matter more than configuring every detail yourself.
How Maven Thinks About a Task
Maven works like a task system, not a chatbot. You give it an objective, not a query, and it works out what kind of research that objective actually requires: whether the answer needs Quantitative Research, Qualitative Research, or both, and which underlying assets, surveys, focus groups, concept tests, actually need to be built and run to get there. A task can be small or large, and can branch into smaller sub-tasks and follow-up work within itself, because real marketing and research questions are rarely a single output. They're usually a chain of decisions leading toward execution.
Maven supports two working modes depending on how complex the task is. For a simple ask, it runs in investigative mode: it figures out what needs to be done and does it directly. For a more complex ask, it runs in planned mode: it shows you the plan first, breaks it into sub-tasks you can approve or revise, and lets you decide where it should pause for your input along the way. The complexity of the question decides the mode, not a setting you have to choose yourself.
What Maven Is Actually Good For
In practical terms, Maven can validate an idea before real money is behind it, build Concept Tests and Product Tests without starting from a blank page, generate Short Surveys, AI Surveys, and full Quant Surveys designed around a decision rather than just collecting opinions, put together Qual Research discussion guides for Focus Groups that dig into the why behind a behavior, pressure-test positioning and creative angles, map a customer journey and flag where conversion is leaking, and produce the everyday outputs around all of that: research briefs, question banks, interview guides, and insight summaries that plug directly into marketing and product work.
Every output Maven produces is also grounded and traceable, built on near-real-time signals refreshed monthly from a large base of consumers, not a general-purpose model's best guess. That grounding is what lets Maven answer with a level of specificity a typical chat tool can't, and it's also why an output can carry a follow-up question. Ask something further about a meeting or a finding, and the conversation continues from where it left off, rather than ending the moment the report is generated.
What Maven Is Not For
Maven is deliberately not a replacement for the full research cockpit in consumr.ai. If you're designing a complex study from scratch, managing every variable by hand, or need an audit-grade, fully manual setup, that work belongs in consumr.ai, not Maven. Maven also isn't built for platform administration or technical configuration work.
And Maven won't guess at a task that's too vague to act on. If an objective is too broad or unrealistic as a single ask, Maven pauses and asks a follow-up question until the task becomes usable, rather than producing something confident-sounding but ungrounded. That restraint is by design: a done-for-you tool is only trustworthy if it knows when it needs more from you before it proceeds.