Subscriptions

Subscription options

We recommend that you first of all set up a free account to try the app out.
For most purposes you will probably want to code more than 50 links in your file: Once you have reached your limit, click on the button in your chosen subscription option below to make payment.
When asked for an email address for the payment, make sure you use the same address as you do to log in at the app, so that the app recognises your account!
 

Subscription packages

 
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Manual coding
Manual coding
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AI Coding
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Free (sign up in the app)
Small Package
Medium Package
Unlimited Package
AI Gold
AI Platinum
Monthly price per user
0
£39*
£99*
£149*
£290*
£490*
Annual price per user
0
£250*
£500*
£800*
£1450*
£2450*
View and analyse your own files or files shared with you
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Share view-only files
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Support: online guides
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Support: email
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Support: live online meeting up to 30 minutes per user per month
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Number of files you can edit
1
1
3
Unlimited
Unlimited
Unlimited
Number of links you can code in one file
50
Unlimited
Unlimited
Unlimited
Unlimited
Unlimited
Share edit access to your files with other subscribers**
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💖 Sentiment coding
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🔎 Semantic search
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AI
🤖 Auto-coding
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❕AI Answers
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Use your own API Key
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2FA (two-factor authentication)
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Dedicated server
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**At the moment two users can edit the same file at different times, but not at the same time.
*Price per user. Plus VAT.
 
Upgrade to a dedicated server
You can request your own dedicated server for an additional £75/month (this is included in the AI Platinum Package)
And if you want a dedicated server with 2 Factor Authentication (2FA), it’s an additional £150/month (this is included in the AI Platinum Package)
 
More information about the packages
  • All packages are available either on a monthly or annual basis. If you are likely to use Causal Map for more than 5 months in a year, then the annual option is a better option.
  • Archived files: In addition to the file(s) covered by your subscription, you can have any number of archived files. Archived files can be viewed (but not edited) by yourself or anyone you have shared them with. Once a file has been archived, it cannot be unarchived, but you can download it as an Excel file. Archived files are not counted towards your subscription. So if you have for example a Small subscription with one file, and then archive it, you are then free to create another file.
  • In most cases, the app will prevent you from doing anything which would exceed your subscription. However if you do get into a situation where you are exceeding your subscription at any time (e.g. because you downgrade from Medium to Small), all of your files become read-only. You can still view the files, and others with view permission can continue to view, and you can edit other people’s files you have edit access to, and most importantly you can delete or archive files in order to recover your status.
  • Viewing other files: any user including free uses can view (but not edit) any file which has been shared with them by the creator of the file. Only files which you created count towards your subscription. It is not possible to change the creator of a file.
  • Once your subscription comes to an end you will revert to a free account. Your files will be archived: you can view them, for at least 12 months, but will no longer be able to edit them.
  • If you have a free subscription, files may be deleted after 12 months so make sure you used the export button to download your data into an Excel file.
  • 1:1 support is only available for Unlimited subscription holders. Other users can use the support available via The Guide and the Learning Hub. Please report any bugs via the Report a Bug function in the app.
  • If you want to bulk buy single accounts, for example educational institutions, please get in touch.
  • We also offer a student discount.
Here’s some more information about the AI packages
AI causal coding is a fantastic way to get deep insights into large amounts of text data:
  • Our approach uses generative AI as a tireless low-level assistant to exhaustively and transparently identify large numbers of individual causal claims within texts such as stakeholder interviews, which can then be summarised by the evaluator, rapidly and at scale, using established causal mapping techniques.
  • Like humans, it makes mistakes and needs to be monitored. If you want an overall picture, the "noise" it can produce probably won't matter and you can get very good results almost out of the box. However at the moment, if you want to understand the details of individual stories, you'll probably need to tweak a not insignificant proportion of the coding it produces. Using the AI takes some skill and experience and we can support you in this.
  • Out of the box, the AI will probably give you better results much faster than if you are just learning how to do manual coding. But an experienced human coder is still a lot better at understanding and coding the details of individual stories.
AI coding uses the OpenAI API, which is expensive:
  • The more you code, the more it costs. Autocoding is free for reasonable use, which we count as 100K characters or about 200 pages of A4 per month.
  • For the Gold and Platinum package, we will cover the cost of reasonable use as part of your subscription.
  • If your usage exceeds that we will charge you for the excess.
If you plan to do a lot of coding, we advise you to use your own OpenAI API key (this option is available in our Platinum package):
  • API Key is a unique code which means that you pay OpenAI directly for your usage. Their rates are cheaper than ours. This can cut your costs significantly if you are using the AI a lot.
  • Of course, you can still use our own API key if you don't have one or don't want to use yours.
  • Our autocoding API typically runs smoothly with a 99% uptime. However, if you encounter a timeout, it’s likely an issue on OpenAI’s side, which is out of our hands.
 
 
 
 
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CONSULTANCY
We also offer consultancy support for:
  • Coding and analysing data, with AI including the results of theory-based evaluations.
  • Constructing collective theories of change with multiple stakeholders.
  • Comparing existing theories of change with evidence of what is actually happening.
  • Looking for causal stories within existing text such as open-ended answers to questionnaires, published documents etc.
  • Visualise the impact of a project
  • Measure system change
  • Support with your research
Pricing will be determined based on your specific needs. Please see our packages page and contact us to let us know what you need: hello@causalmap.app.