Home

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

Take me to the app!

📝

Verify theories of change

Your choice

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.

Check our Questions you can answer with Causal Map presentation

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.

Check out our Consultancy page.

💬

You may also be interested in Causal Map’s little sister

QualiaInterviews

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.”