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Decision intelligence for market research and insights teams

Decision intelligence applied to market research means the trackers, studies and reports an insights team already owns are watched continuously, connected across studies, and turned into ranked, explained priorities for the business, with recurring readouts automated and every answer traced to the study, wave and cut it came from.

MT
The mTab Team

Decision intelligence at mTab · Updated September 10, 2026

A row of doors with one yellow door

What does the insights team’s week look like today?

A wave lands. Stakeholders ask what changed before the tables are built. A question arrives whose answer is spread across three studies and a deck from last year. The competitive roundup is due Friday and looks like last Friday’s. The research is good; the constraint is time to read it, connect it and get it to the people who decide.

What changes with decision intelligence?

  • Trackers are watched continuously. Meaningful movement is surfaced between waves, by segment, tested for significance, with the verbatim themes behind it.
  • Studies are connected. A new finding is read against what previous studies said, so confirmation, contradiction and extension are visible without a manual search.
  • Stakeholders ask the research directly. Questions are answered from the team’s own studies with the study, wave and cut cited, and governed by the same access rules.
  • Recurring readouts run automatically. The wave readout, the competitive review, the executive brief are produced on schedule, reviewed by a person, and delivered where the audience works.
  • The business gets priorities, not decks. Product, marketing, strategy and leadership see what changed, why it matters and what the team recommends, and the insights team governs what they can draw on.

What must stay the same?

The measurement. Weighting, base handling, significance testing and multi-response logic belong to the analytical engine, not to a language model. Traceability: every number links to the study, wave and cut behind it. Governance: access by study, client and team, provider terms enforced, review before release. Decision intelligence built on anything less is a faster way to be wrong.

What does this mean for agencies?

Delivery moves from a deck to a governed place where client teams explore, compare and ask. Client trackers are watched between waves, and the interim brief drafts itself when something moves. Recurring readouts become Flows, and senior time goes to the recommendation.

How mTab approaches it

mTab Halo has handled wide, complex studies and global brand trackers for the world’s largest brands for decades. Pulse sits on that foundation and watches it continuously for the business. Reports answers questions in plain language with the verified table behind the answer. Flows automate the recurring work. The standard stays; the time to insight does not.

Frequently asked questions

Does this lower the standard of analysis?

It should not, and in a well-built platform it does not. Crosstabs, weighting and significance testing run on the established analytical engine. AI finds, explains and drafts on top of tested numbers, and people review before anything reaches stakeholders.

What happens to the insights team's role?

It moves up. Less time on the request queue and the recurring readout; more on study design, interpretation, and governing what the business can draw on.

Can agencies use decision intelligence for clients?

Yes. Programs are delivered in one governed place with access per client, trackers are watched between waves, and recurring readouts are automated so senior time goes to the recommendation.

See how insights teams do this in mTab.

Bring a tracker or a study and we'll show you the analysis, and what Pulse would surface from it.

Book a demo