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Cognition Science Communications
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How we work

We don't start with the brief.
We start with the science.

Most science communication starts at the wrong place. A deliverable is already in mind, a format already chosen, an audience assumption never tested. We start earlier. Every engagement begins with one strategic conversation: what does this audience need to believe, and what stands in the way?

The engagement model

Discovery to delivery.

The model is iterative. Phases inform and revisit one another as the science and the audience sharpen the brief. Think of it as a methods map rather than a flowchart.

1Phase
Discovery
Outline the problem clearly.
Problem framing + desk research Audience & stakeholder map Evidence audit Synthesis & Insights
2Phase
Strategy
Outline the opportunity and align to outcomes.
Business case alignment Opportunity mapping Belief → outcome alignment Strategic brief
3Phase
Ideation
Creative problem solving.
Value generation shaping Concept exploration Narrative architecture Co-creation Clarity testing
4Phase
Delivery
Execution recommendations through development & delivery.
Execution roadmap Production Scientific accuracy review Deploy + reflective learning
Iterative — phases loop back as the science and audience sharpen the brief.
In practice

What that looks like.

Series B MoA animation.

We start with the deck, then the papers, so we know the science the way the scientists do. Then we find the barrier: what the last investor room didn't believe. We build the argument before the storyboard. It doesn't woo with cinematics. It teaches the room what it needs to see, fast, with craft built around the case. Our animation is not a picture of the science. It is the argument for it.

Global disease-awareness campaign.

We start with the misunderstanding: what patients, caregivers, and clinicians believe today, and what has to change for them to act. We map that belief shift before a single asset is designed. First the strategy: which audiences, which moments, which channels carry the activation. Then the visual language, then the assets. Awareness is a strategy problem before it is a production one.

See what we build →
On AI

On AI.

We use AI tools in our pipeline for research synthesis, animation post-processing, and workflow acceleration. We do not use AI to generate final scientific or medical content.

The science in every illustration, animation, and infographic we produce was built by a human who understands it. Scientific accuracy requires nothing less.