Goal
What does the CX Analyst hope to achieve with inQuba Journey?
- Define, analyse and understand a customer's end-to-end journey experience
- Build and automate journey interventions across all channels of engagement
- Easily compare and segment journey paths based on date, demographic, custom cohort, tags, keywords and taxonomies
- Seek to optimise bottle-necks and obstacles along broad and granular journey paths
- Ability to build out one's own journey path
- Receive instant customer/survey data that can rapidly integrate into testing new journey possibilities
Keywords
Deep data mining
Integrated cohort creation
Advanced customer insights
Customisation
Pain points
Stumbling blocks that hinder the persona from achieving their goal.
- Lack of real, insightful results. The software must have the capability to go beyond the surface to extract deep and meaningful insights
- Tools within the product to help make sense of big data so as to avoid drowning in a sea of data
- Automate repetitive tasks easily. Also the capability to program tasks in Python or R
- Prompts and indicators need to be relevant and applicable to the task at hand
- Data visualisations need to be interchangeable, (pie chart can easily convert to a doughnut chart)














