Multilingual social listening
Patient-generated content analysed across 26 languages, so insight is not limited to English-speaking markets.
AI-enabled social listening at global scale
Patient insights
The patient voice already exists online, in dozens of languages, being written every day. We turn that unstructured real-world experience data into continuous, evidence-traceable insight your medical, commercial and safety teams can act on.
Discuss a project
Through our delivery partner we access an agentic AI platform built on one of the largest archives of online real-world patient experience data, covering 26 languages with full provenance back to the source content.
That means you are not waiting on a fielding window. Disease burden, treatment switching, side-effect narratives and unmet need can be mapped continuously and revisited as the market moves.
We scope the question, run the analysis with our partner, and translate the output into the decision you actually need to make — positioning, launch sequencing, message development or trial design.
What we deliver
Patient journey & disease mapping
Diagnosis delays, referral paths, treatment switching and drop-off points mapped from lived-experience data.
Unmet need & burden analysis
What patients say is hardest — symptoms, side effects, daily-life impact — quantified and ranked.
Message and concept validation
Test whether your language matches the language patients actually use about their condition.
Study and endpoint design input
Real-world patient priorities used to inform protocol design and patient-relevant endpoints.
Full provenance
Every insight traces back to source content, so medical and compliance teams can audit it.
Case studies
Rare disease: finding the real diagnostic bottleneck
- Context
- A specialty pharma team believed slow diagnosis was driven by low GP awareness, and had budgeted a GP education programme.
- Approach
- Multilingual analysis of patient and caregiver posts across five markets, mapping the sequence of appointments patients described before diagnosis.
- Outcome
- The dominant delay sat between first specialist referral and the confirmatory test, not at GP level — redirecting the education budget toward specialist pathways.
Illustrative engagement example based on typical programme design, not a named client project.
Switching behaviour ahead of a competitor launch
- Context
- A commercial team needed to understand why patients on an established therapy were open to switching.
- Approach
- Continuous listening across patient forums and social channels, tracking side-effect and administration-burden narratives over twelve months.
- Outcome
- Administration burden — not efficacy doubt — was the leading switch trigger, reshaping the defensive message set before the competitor entered.
Illustrative engagement example based on typical programme design, not a named client project.
Insights when you need them
Tell us the decision you are trying to make and we will tell you honestly whether this is the right route.
Discuss a project