Health

Social intelligence for health and pharma

What patients and clinicians say to each other when no one is asking.

People living with a condition talk to each other every day: about symptoms they have not mentioned to their doctor, treatments they stopped and why, what they fear and whom they trust. Nobody recruited them and nobody is moderating.

We read that public conversation, and the professional one alongside it, and map how patients and clinicians organise the decision. The survey, the tracker or the patient-journey work is then built on that map.

Where we start

Questions we are brought

  • What happens between diagnosis and treatment that never reaches the clinic?
  • Why do patients stop, switch or never start?
  • What words do patients use for this condition, and how far are they from ours?
  • Where does trust sit: with the physician, the community or somewhere else?
  • How is a public health issue being argued, and what language loses the middle?

Human analysts read the material. The Reading Machine holds the whole conversation at once, so nothing is left out because it did not look interesting. Interpretation stays with the researcher. How the work is done

From the Atlas of Social Truths

What we found when we listened

Cases

2 entries

How to work with us

Agenda
What is the conversation about right now?
48 hoursto first learnings
Frames
Which narratives and tensions govern it?
1 weekto first learnings
Publics
Who are these people, and where do we stand with them?
2 weeksto first learnings
Common Sense
What should our strategy be built on?
2 weeksto first learnings
Public Mood
What changed since last month, and what is coming?
Every monthto first learnings
What each one is for →

Among those we have worked with: Teva, Merck, Boehringer Ingelheim.