I like how easy it is to learn and navigate. The templates are beneficial, and I appreciate the clear visualization of the customer path. The workshop feature was perfect for our team to have a meaningful conversation about the customer journey and how to improve areas where we're currently losing them. As a SaaS product, implementation is super easy, and the customer support team is readily available, helpful, and friendly on the rare occasions I've needed them.

JourneyTrack is a great collaboration tool - it allows various teams to work simultaneously on projects within defined parameters. The workshop tool is excellent for not only documenting the current state but also brainstorming future state solutions. The process is democratized by giving all stakeholders a voice and a vote - it is so important to ensure diversified points of view in how users engage - the more input, the better! Being able to create an insights-driven journey map with the click of just one button once the workshop is complete is an incredible time and money saver. The insights hub allows for easy storage and sharing of insights across teams, which helps reduce duplicative efforts. The tool is also great for measuring impact over time. I like how I can customize what is measured based on what’s important to my organization.

It helps organize research data into a flexible and usable format that can be shared and easily collaborated on. We have been using it as a collaborative tool to create user journeys based on the research data we have collected from qual research and it is great to see the options we can add to put in the journey and tailor it based on what we need. It has the option to even integrate some apps like miro, mural, youtube, etc. that we are yet to explore but tehy add to teh possiblility of adding insights in one more than one format (lie avideao) etc. to add wieght and data to support how we create user journeys. The template feature is good too. We have some and have created some of our for our projects. They are easy, self-explanatory and allow us to pick and choose based on the type mof data we want to put.