Learn about our latest product features and functionality below. Click on any of the links included to find out more about the specific update / new feature.


If you have any ideas for features or updates that you'd really like to see, we'd love to hear them. There's a section for product feature ideas in your community forum - please post in here!



August 2020


Easily interpret clusters in Discover


Coming soon!


July 2020

 

Exclusion filters


When filtering different string-format metadata properties, you can now choose to exclude certain values that you're not interested in! This makes it much easier to filter out certain values for a metadata field that has a large number of potential values. 


You'll notice that the filtering interface now looks a bit different for these properties, but we hope you find it pretty intuitive.


Follow these links to see how the new filters work in Explore and Reports.



Model warnings and next-best actions in Validation


The platform now provides model warnings in Validation, whenever you select an individual label that is not performing as well as it should be. Re:infer will also suggest the next-best actions to try and improve them, and this is a feature we will continue to develop to make these suggestions as helpful as possible.


To see how they help you understand and improve model performance, click here and scroll down to the 'Model warnings and next-best actions' section.



June 2020

 

Email recipient filters updated


We've updated how our filters work for recipient related user properties for email datasets. You are now able filter on number of recipients or number of recipient domains, as well as being able to filter to a specific recipient or recipient domain present in any of the 'To' 'CC' or 'BCC' fields of an email.


Follow these links to see how filters work in Explore and Reports.



Verbatims with dismissed labels return to 'Unreviewed'


Previously if you added labels to a verbatim and then decided to remove them later, they would remain in the same 'Reviewed' format, but have no labels associated with them. 


We've updated this now so that if a verbatim has all of its labels dismissed, it reverts back to 'Unreviewed' and the platform will start to make predictions for it when it retrains. This acts as a sort of 'undo' feature, letting you correct things or remove labels more easily, without having to apply new ones.



'Introduction to Re:infer' video available


The latest of our explainer videos is now available. This video gives users a high-level introduction to Re:infer, covering:

  • Who we are, 
  • Why we exist as a company
  • What we do
  • How we do it
  • How we're different
  • How our clients are using our platform


To watch the video, check it out here.



May 2020

  

Intelligent label performance warnings


To help you easily understand and improve label performance, we've introduced intelligent label performance warnings in the platform. These will warn you when a label is not performing as well as it should be.

We'll be regularly updating the inputs to these and creating more and more intelligent 'next best actions' to help you improve labels quickly and effectively.

To see an explanation of these performance warnings, click here and scroll down to the 'Label performance' section.

 

 

Intelligent searching in Explore


We've updated how searching works in the platform. You can now add quotation marks (" ") to your search terms in the search bar to force an exact match of the terms within them. If you don't add quotation marks, Re:infer will return exact matches first, and then partial matches once you have passed all of the exact matches.


Explore will also give you an approximate count of how many verbatims match your exact search terms, giving you a rough idea how many times a concept or theme might appear in your dataset.


To learn more about how search works in Re:infer, click here.

  

 

'Platform Overview', 'Entities Training' and 'Using Discover' videos available


The first of our training videos are now available on the Knowledge Base. These will be the first of many, so keep an eye out for more.


To get a feel for navigating the platform and an overview of all the main features, check out the Platform Overview video.


To understand more about Entities and how to use them in the platform, watch the Entities Training Guide video here.


To learn about the first phase of the model training process, 'Using Discover', watch the video here.

 


April 2020

 

Discover looks for poorly covered clusters


In February, we updated Discover to take into account your taxonomy when re-training. We've now updated it so that when it retrains, it tries to find clusters of verbatims that are not well covered by your taxonomy (meaning that predictions for each of the labels are low).

 

Finding and presenting clusters is always a balancing act - we want to balance finding good clusters with clear connections between the verbatims, with finding new things that don't fit your current taxonomy. There will always be a mix of some clusters with strong predictions, and others with less strong or no predictions, depending on how your taxonomy has been trained so far.


To find out more about Discover and how it works, click here.

 


February 2020

 

Knowledge Base and Support Centre goes live!

 

You'll know that we've launched or new Knowledge Base and Support Centre (support.reinfer.io), as you're currently in it! 

 

Now you've signed up, you can continue to access this site from the platform by clicking the 'Support' option in the Global Action action dropdown menu, found in the top right-hand corner of your screen at all times.

  

  

Discover takes into account your taxonomy when re-training


When it retrains, Discover now takes into account your taxonomy and the training that you've completed to-date, as well as looking for clusters of semantically similar verbatims, in order to increase the chances that the new clusters it creates are interesting to you.

 

To understand more about how Discover works and how to use it, click here.

  

 

The Datasets page now lets you filter by organisation

 

If you belong to multiple organisations in Re:infer, the Datasets page can get a bit crowded with all of the different datasets that you have access to. We've added a simple filter bar at the top to let you filter to datasets within a specific organisation, to cut out some of the noise.

 

To understand more about the Datasets page, click here.

 


January 2020


Customisable dashboards


The Dashboard page now lets users create fully customisable dashboards. Users can add or remove any charts they want with only a few clicks, and fully adjust their size and arrangement.


To find out more about how to set up and edit your own dashboard, click here.

  

  

'Low confidence' mode


Within Explore you can enable the 'Low confidence' mode, which will present you with verbatims in the dataset for which the model has very low confidence that any of the labels in your taxonomy applies to them. 


This, as well as 'Shuffle' mode, is a useful way to see how well your taxonomy covers the verbatims in the dataset, and may show you where you need to create new labels to capture interesting intents or concepts you may have missed.


To understand more about how to use 'Low confidence' mode, click here.

 

 

Updated Organisations page


The Organisations page has now been updated to show you all of the organisations that you and other users belong to (as long as you have permissions to see them), and lets you switch between them easily by simply clicking on the one you want.


To understand a bit more about the Organisations page click here. Or to understand more about how to manage users, click here.

 


December 2019

 

Discover now re-trains

 

We've updated Discover to show you new clusters, once you've done a significant amount of training or added a significant amount of data to your dataset. This way Discover continues to be useful and hopefully shows you new and interesting things.


To understand more about how Discover works and how to use it, click here.