Organizing HubSpot's reporting tools

Content strategy + UX research

Project

As part of a larger discoverability project, there was a strong indication that the existing report categories in HubSpot were not closely aligned with how users organized reports. This mismatch was leading users to search for reports under the wrong reporting tool or name. 

I worked with the UX research team to conduct an open card sort to understand how users naturally thought through and organized different report types, instead of giving them preassigned categories to focus on.

Strategy

25 users were invited to complete a card sorting task, where they were presented with a total of 56 cards which reflected the broad types of reporting questions answered across all of HubSpot’s reporting tools. These reporting questions included:

  • Where are visitors to my website coming from?
  • Which SEO topics are generating the most organic traffic?
  • How many deals are being closed over time?
  • Which of my sales reps has closed the most revenue?
  • Which blog posts are performing best?

Most users used a blend of strategies to categorize report types, such as both functional area/keyword and funnel/pipeline stage. 

% users Strategy Used Example Categories
50% Functional Area/Keyword  Blog, Ads, Contacts
38% Business purpose Sales Activity, Digital Marketing Efficiency
29% Funnel/pipeline stage Lead Gen, Prospect Development
21% By Hub Sales, Marketing
17% Me/My role My Team, My Performance

Users were also explicitly asked for the strategy used in completing the card sort. Examples of self-reported methods include:

 I thought about the reports I look at daily, weekly, etc., and the metrics I often dig into next after looking at a report. I tried to group all the similar topics together with an easy header name so I could remember. 

I first read all the reporting questions, then segregated each of them based on the different stages I use them in. 

I grouped them by type of task, or who would be responsible for measuring or reporting these things (e.g., Marketing, Sales, Customer Success, etc.). 

Outcome

The majority of cards were grouped into 10 unique categories. The names of the categories reflect the naming convention used by participants in the card sort.

  1. Knowledge base
  2. Contacts/Customers
  3. Deals
  4. Reps/Team performance
  5. Revenue
  1. Email
  2. Blogs
  3. Website/Site
  4. Social
  5. Ads

7 of the 10 categories could be roughly clustered into the two broader headings of Marketing and Sales. Knowledge Base, Contacts/Customers, and Email were unique and generally grouped separately.

These open card sort results were used as the basis of a set of new proposed report categories, as well as in the design prototyping of a new reporting sub-navigation.