CUX.io vs. SAS 360 Plan

It's great to have such a tool in your closet as a UX designer or else it's hard to find those pain points. The tool was very helpful in finding weak points at specific sites, collecting data, and presenting it to show the severity of the issue. Additionally, it revealed unnoticed errors and inconsistencies and contributed to quick fixes.

Incentivized

• Allows user recordings which enable you to see exactly how features are being used
• Easy to navigate user interface
• Strong built-in analysis features that allow the design team to pull and analyze data easily

Incentivized

• Create and manage a detailed plan for a marketing campaign: when you create detailed project plans and then task and role levels, SAS Marketing Operations Management (SAS MOM) makes it easier to coordinate between projects with very little, if any, issues.
• Share, reuse and leverage existing marketing assets: Like some marketing tools, SAS MOM allows you to create and reuse assets across various channels.
• Manage project collaboration and execution: You are allowed to set up a workflow that helps move processes along without having to manage each step of the project.

Incentivized

• There are a lot of features; it does take some time to understand what is there in order to make the most use of everything
• Some additional user tutorials might be useful to introduce new users to all the features
• Data loading can be a bit smoother and faster

Incentivized

• It would be good to have a Storyboard feature to summarize and tie together some of the dashboard metrics.
• Missing feature: Hubspot CRM integration.

Incentivized

CUX.io has a really clean UI that was easy to use and a good fit for what we needed. It combined features that we had from other products and was well-geared towards automating the type of analysis that we were interested in. It also had great customer support that really helped us to get started without any hurdles.

Incentivized

• Decreased the time it takes the organization and team to arrive at user behavior conclusions/insights
• Decreased the time we needed to spend in order to monitor how new features quantitatively impact user behavior
• Enabled the organization to make more data-driven decisions

Incentivized