Causal Map
Your stories, visualised
Struggling to make sense of complex, interconnected narratives in interviews, reports, surveys?
Causal Map helps you map out what causes what, through they eyes of your stakeholders.
Highlight connections
Analyse stakeholder narratives
Verify theories of change
Code your own data
- Get a subscription or try it out for free.
- Use the Causal Map app online.
- Import your documents or transcripts
- Highlight causal connections.
- Watch as maps appear.
- Answer your research questions
- Follow our extensive documentation or get training.
We do it for you
We process your data for you using Causal Map AI.
- We help you develop your research questions.
- You send us your data.
- We deliver a visual report answering your questions.
Get a quote for our AI consultancy service and start your causal mapping journey with us.
You may also be interested in Causal Map’s little sister
A web-based app to help you collect causal stories from your stakeholders.
Causal Map has been used by:
Causal Map has been applied in reports by Bath SDR for:
See what our customers say
Christoph Jaschek
"I chose the tool Causal Map because of its appealing visualisation of the maps and the variety of tools that make a comprehensive analysis of the maps possible. The application allows to directly link the transcripts of the interviews with the creation of the cognitive and causal maps and their systemic analysis.
I also highly appreciated the personal and user-oriented support from Steve and his team that took place via e-mail, several video calls and Slack."
Michelle James
”Overall, I found the Causal Map app to be particularly helpful in combining a diverse range of data sources into one place, and the simple interface allowed for effective induction analysis by breaking up a substantial dataset into small manageable pieces of text that could be considered independently. Following helpful training by the Causal Map and Bath SDR team, I was able to interrogate the data to create helpful visualisations to answer each of my main research questions.”
Some recent projects
Gallery view
Using QuIP and Causal Map in an Evaluation, a WFP interview with DeftEdge
Our seamless stories workflow in practice
Using AI to facilitate feedback on the learning experiences of doctoral students
Creative Home Delivery Service, PSU
Thinking together within and beyond Communities of Practice
An M&E time machine
Comparing a Fine-Tuned Model to an Engineered Prompt in the Context of Causal Connections in a Passage of Text
Partner Ring, ACI, Australia
What drives group learning? PLI CS
Everyone Counts / Covid Edition. Chapter 6: On the Front Line - Stories of the Volunteers
Load more