Case studies
Applications and examples
See how grounded AI supports audience understanding, concept development, alignment and specialist knowledge work across a range of organisations and contexts.
See how grounded AI supports audience understanding, concept development, alignment and specialist knowledge work across a range of organisations and contexts.
The following examples illustrate how Persona Dynamics has been applied. Details have been anonymised where appropriate.
A large consumer-facing organisation needed to evaluate multiple new product concepts quickly against a diverse national audience, without the time or budget for repeated primary research waves.
A comprehensive audience research programme including a national quant study (n=4,000), six qualitative focus groups and two years of brand tracking data.
A set of five grounded audience personas covering the key segments identified in the research, each able to respond to concept stimuli with source-linked reasoning.
The product team evaluated eight concepts in two weeks, identifying two strong candidates and three requiring significant rework, with clear evidence-backed rationale for each decision.
The product team used the grounded persona responses as one input alongside commercial and technical considerations. Final prioritisation decisions were made by the team, with the AI providing structured evidence rather than recommendations.
A software company had a growing backlog of potential features and improvements, with competing internal views on priorities. Customer insight existed but wasn't systematically used in roadmap decisions.
Transcripts from 40+ customer interviews, NPS verbatims, support ticket analysis and two rounds of usability testing, spanning 18 months of customer contact.
A grounded customer knowledge system organised around three primary user types, enabling the product team to interrogate how different segments would value specific features and improvements.
A two-day roadmap workshop that previously took weeks of preparation and typically ended without consensus produced a prioritised plan with clear customer evidence behind each decision.
The product leadership team used the customer system as a shared reference during the workshop, interrogating it together to test their assumptions rather than debating from memory. Technical feasibility and commercial prioritisation remained human-led throughout.
A professional services organisation held deep specialist expertise that was difficult to share consistently, particularly with less experienced practitioners who needed to support more complex client engagements.
Structured interviews with five senior specialists, internal guidance documents, annotated case examples and a library of relevant professional literature curated by the team.
A grounded expert knowledge system representing the firm's accumulated specialist expertise, accessible to practitioners at all levels with full source traceability throughout.
Junior practitioners reported significantly greater confidence in their ability to support complex client engagements. Senior specialists spent less time on basic knowledge transfer and more on higher-value advisory work.
The system was explicitly designed as a starting point for practitioner thinking, not a substitute for professional judgement. Users were trained to use it to explore and orient their thinking before applying their own expertise to specific client contexts.
Junior practitioners relied on asking senior colleagues, creating bottlenecks and inconsistent guidance
Grounded knowledge system gives structured, source-linked access to accumulated expertise, on demand
We'd be happy to talk through how Persona Dynamics might apply to your specific context.