LBS × Chatter: conversations that lead to clearer decisions

The challenge: scale without losing the human perspective

LBS conducts research that helps organisations understand local communities, customers and stakeholders. The team needed a way to run structured one-to-one conversations without sacrificing the natural flow and nuance that make qualitative research valuable.

In practice, this means combining questions that keep the material comparable with room for follow-up, examples and local context. The team also wanted to reduce the operational work involved in gathering, organising and reviewing interview material—particularly on projects with more respondents and short reporting timelines.

The solution: research designed by the LBS team

With Chatter, LBS researchers create a dedicated project, define the conversation scenario and share a straightforward chat link with respondents. Each participant takes part in a guided dialogue, while the research team retains control over the questions, source material and final interpretation.

Within a protected research workspace, LBS can review conversations, follow their status, use AI-assisted analysis and export the material for further work. This makes it easier to compare respondent perspectives, notice the language people use to describe their needs and return quickly to the original part of a conversation.

“In local research, collecting answers is not enough. We need to understand what sits behind people’s words. Chatter brings order to our workflow while helping us retain that perspective.”— Marcin Jóźko, Owner, Lokalne Badania Społeczne

What changed for LBS

Automation supports the researcher—it does not replace judgement

Chatter brings structure to conversation-led research and accelerates synthesis. The LBS researcher assesses context, verifies evidence and gives each insight meaning within the reality of the specific project.