AI agents simplify dashboards into actionable storytelling

AI agents are here, ready to help you serve up the perfect insights morsel for your audience. Stakeholders may be judging your methodology. But they are certainly judging what they can see. They’re judging your speed and your slides. 

They don’t see the careful sampling or the hours you spent cleaning verbatims. They see the headline, judge at one chart, and make a sweeping generalization at one color palette. Perhaps not the most helpful at a time when the demand for useful data is at an all-time high. But hey, we’re visual creatures, so you can’t totally blame the non-researchers. 

Can AI help with data visualization? 

In MRII’s global study, 62% of market researchers said they or their team are already using AI tools, up from 39% the year before. Now, so far, most researchers have been using AI to speed up steps in the research process. We’ve seen this, with Research HX using AI and integration to cut research time in half¹.  

But what if we can apply AI to visual storytelling too? Taking a step beyond just speeding things up and moving towards improving how we can communicate data.  

Visualizations: The high-stakes step 

We have enough data, we now have the speed to process it, we have the human research expertise to know what data points make important insights for the audience. This is no longer the bottleneck, understanding is. 

We know we only have a few seconds to capture our audience’s attention. Attention spans have been shrinking since the dawn of the smartphone, and with publications like TIME reporting this means our focus is now worse than that of a goldfish, it dramatically highlights another problem when presenting to non-researchers. Data literacy. Because that common 9-second goldfish stat (while incidentally proving the point) is entirely made up, they can remember things for months.  

Data literacy = how well someone can read, comprehend, analyze and communicate data. Studies show that 88% of our audiences may struggle with this. 

This is why you’ve been tasked with the research, because this is a skill you can bring to the table that your stakeholders have recognized they need. So how do you communicate well with someone with the attention span of a fly, who can’t understand the data you’ve collected, and who probably wants their own opinions reinforced by you? You already know the answer… 

This is why data visualization is such an essential step; getting it right can make or break all the work you’ve already put into reaching that point. Because when a stakeholder says, “I don’t get this chart,” they’re not being difficult. They’re human. 

Why this matters for market research visualizations: If your chart requires a mini lecture, you’ve already lost. A visualization isn’t ‘supporting evidence.’ It’s the whole case, all by itself. 

Read more: Seeing is believing: How to display your data story 

That’s exactly why Research Agent exists: It’s built to make visualizations clearer, conclusions stronger, and reporting faster, by reviewing the actual slides/infographics/tables stakeholders see and coaching you in the moment to make adjustments that will help your insights land. 

What are ‘research agents’? 

Research agents are born from the latest AI developments and the research industry’s gradual move towards agentic. To simplify, they can appear as chatbots that live in your existing workflows to help you to improve the creation, analysis and the display of data.  

Read more about AI agents: Agentic AI: Your personal research assistant

For example, within Forsta’s Visualizations, Metadata Agent cleans and standardizes data before reporting even begins to acceplerate set up. And Research Agent’s job is to evaluate whether an insight within a report is clear, credible, and decision-worthy, based on what’s actually on the slide: 

• Research Agent strengthens the “so what” by identifying weak or unclear takeaways and helping refine them into confident, decision-ready conclusions, with an exec-ready focus. 

• It also gives design and layout guidance to reduce rework caused by cluttered slides. 

• Acts as a first-pass reviewer to reduce iteration cycles and speed delivery.

• Supports iterative conversation, so insight development becomes exploratory instead of linear and fragile. 

• Provides design and layout guidance to reduce rework and reliance on specialist designers. 

• It’s embedded directly in Visualizations, keeping insight work in flow with fewer tools and less friction.

This bundle of functionalities tackles the real problem: Slide quality is a messy mix of analysis, design, and storytelling, and most teams are trying to do it all with fewer people and less time, and in many cases, without a data design background. 

The bottom line 

Research AI agents help you to deliver what execs actually want from insight teams: Clarity, confidence, and all this at speed. It assists you turning technically correct charts into insights that can and will guide decisions, surfacing the “so what” instantly so leaders can move with full confidence in you.

Lean teams can produce senior-level outputs without ballooning headcount, while research-native intelligence keeps conclusions credible, methodologically sound, and fit for high-stakes decisions. Faster insights, fewer bottlenecks, and no compromise on rigor. 

So go ahead and ask your AI agents.

Just make sure it’s an agent that understands research, respects rigor, and improves the story on the slide where decisions actually get made.

Find out more about Forsta and research agents on our dedicated webpage.

1. Forsta research: A side by side comparison producing a project where questionnaire is 30 questions, sample 5000 respondents, 100 slides in ppt and tables where demographics are crossed by all questions is the deliverable, fieldwork is 10 days.