How to search your customer feedback & user research
NomNom is a powerful search engine for all your qualitative data. Once you've added some data to NomNom, you can then get straight to finding the answers you need from your feedback and research in seconds.
Any search you perform can be viewed in 4 different ways:
This way you can have all the context you need to find the right answers quickly. You also count with a wide variety of filters you can use to get exactly what you need from your data.
In addition to full-text search you can filter your documents and highlights in a lot of different ways:
In addition to graphical query builder, you can switch to the advanced mode, where you can use our query language.
Filter menu in advanced mode
Start typing the filter name, to cycle through options press
tab key or use up and down arrows on your keyboard. You can, of course, use a mouse/trackpad/etc cursor to make selections.
Here are available filter types and relevant query examples:
Date when a document was added to NomNom
added:[now-7d to now] // finds documents added to NomNom in the last 7 days
Date when a document was created originally, for instance when a Zendesk ticket was opened
created:[2017-03-01 to 2017-04-01] // finds documents created between 1st of March and 1st of May 2017
Tag filter supports wildcard searches:
tag:bananas // finds all documents tagged with bananas
tag:fruit* // finds all documents with tags starting with 'fruit'
tag:"very good" // finds all documents tagged with 'very good'
This filter finds documents by their sentiment.
Finds documents by source. Supports wildcards.
source:intercom // finds all Intercom conversations
source:AppStore* // finds all AppStore reviews, regardless of application
Finds all documents belonging to given project:
Properties can be used to filer both highlights and documents. Query language syntax is a bit different for both types of content:
Finding processed and unprocessed feedback
Sometimes you want to see feedback that has not been tagged or highlighted. You can do this easily with NomNom.
has query term allows you to find documents with or without specific properties set.
For example to find all documents with highlights, but without tags, you can use this query:
has:highlights and not has:tags
You can find documents which have tags coming from integrations only, but without auto tags or tags
assigned by anyone in your NomNom team:
has:imported-tags and not (has:manual-tags or has:auto-tags)
You can also find documents by properties of their authors. For example:
A user Mary, with the email address "email@example.com" opened a conversation in Intercom. In Intercom Mary has custom attributes such as
number of purchases and
Signed Up date.
You can find all feedback given by Mary with the following query:
Best of all - this will find all documents which have Mary's email assigned, the documents don't have to come from Intercom at all. As long as the email address is the matching in all sources - all data will be linked.
User property search is best explained with an example:
Find out more about User Properties in Search
All documents carry extra metadata with them, for example, documents created from Intercom conversations have a special property called
intercom_id. If you want to find a document by its Intercom conversation, you can use the following query:
We will be exposing more metadata about different types of documents soon, if you have any questions please get in touch 🙏