Scope the research workflow.
Agree the study context, data sources, analytical decisions and output format. Define how your researchers will assess the result.
AI consulting and agentic workflows for market research agencies and insights teams. Connect survey preparation, verbatim coding, data QA and tracker reporting around the research your team delivers.
Discuss your research workflowFrom evidence to understanding
Survey responses, research context and researcher judgement, brought together through workflows your team can inspect.
Practical AI implementation across qualitative research, quantitative studies and research operations. Start with a defined study task and an output your researchers can evaluate.
Connect research briefs, survey platforms, fieldwork checks and reporting handovers.
Code survey verbatims and explore interview themes with the original responses in view.
Check questionnaire routing, response consistency and verbatim quality before analysis.
Find and reuse findings across approved brand trackers, customer studies and research reports.
Turn validated survey data into cross-tabs, tracker dashboards and research reporting outputs.
Identify useful AI applications across qualitative research, quantitative studies and research operations.
Inside a research workflow
Explore verbatim coding, survey quality review and research-library retrieval. Follow the study inputs, analysis and researcher checks through to the output.
Survey responses
Import approved verbatims with response IDs. Remove or mask unnecessary personal information before processing.
“The product is great. Getting started took too long.”
Verbatim + response ID
An illustrative market research workflow: survey verbatims to researcher-reviewed codes and source quotes.
Discuss this kind of workflowWorking with your research team
Agree the study context, data sources, analytical decisions and output format. Define how your researchers will assess the result.
Connect the agreed survey, research-data and reporting tools, then evaluate the workflow against researcher-reviewed study examples.
Document the workflow, analytical assumptions and exceptions. Help research and operations teams use and maintain the system.
COMMON QUESTIONS
AI can support questionnaire preparation, survey routing checks, open-text coding, research-library retrieval, response-quality review and tracker reporting. Each workflow needs a clear research objective, suitable data and researcher review points.
Market research agencies, insights teams, panel and research technology businesses. Based in Shell Cove, NSW, Emergent Truth Insights works with teams across Australia and internationally.
Yes. We assess your current survey platforms, approved AI providers, databases and reporting tools, then scope an integration around their permissions and available APIs.
We agree acceptance criteria, evaluate outputs on representative examples and make sources, uncertainty and exceptions visible. Researcher approval is built into the decisions that need it.
Data handling, access, retention and approved model providers are agreed for each project before research data is processed. Please send a high-level description initially, without respondent data or confidential files.
Tell David which research task is slowing the team down: the type of study, survey or analysis tools involved, and the output you need. He will assess the fit and discuss a focused research workflow.
A useful next step
Describe the study, the research workflow and the output your team needs.
Prepare a research brief