We engage customer support agents to label and define detailed reasons and resolutions.
We guide customer support agents, aiding them with powerful natural language processing tools that clean and standardize language, identify duplicates, and ensure appropriate levels of detail.
- NLP-guided experience
- Fast, self-serve onboarding
We created the world's first data label handshake between product managers and customer support agents.
We ensure that product managers have the opportunity to review new labels that fall under their product-feature ownership, as well as request more detail for existing labels.
- Quick and easy review process
- Slack integration to connect with agents and streamline label refinements
We automate 95% of manual tasks to manage data fields correctly.
Ticketing system administrators now have a one-click sync experience to update data field labels to the ticketing system, add data field labels and definitions to a searchable catalog, and instantly notify customer support agents on new labels that have been added.
- Integrations available in Freshdesk, Hubspot, Jira, Salesforce, and Zendesk
- Automated communcations, notifications, escalations, scheduling, triage, training, and reporting
We use machine learning to continually review your data quality and surface new clusters of tickets that need labeling.
With the right data detail, actionability, and reliable data quality, machine learning can be extremely effective at helping you to continuously manage data field values.
- Auto-correct and notifications for mislabeled tickets
- Alerting when new unlabeled clusters start to form
We provide world-class reporting so that you don't have to wait in line for your business intelligence team.
We optimize reporting for product teams to identify, prioritize, and solve top issues. Product teams can filter by product-feature ownership, product, and feature.
- Comprehensive reporting for top issues and resolutions taken by agents
- Notifications in slack and email regarding spikes
