Every response is a decision point.
Howazit uses the customer’s feedback, profile, history and business context to determine what should happen next. The action can be customer-facing, internal, automated, human-led or a combination of all four.
Alert the store manager
Ask for a review
Tag and route the theme
From generic follow-up to relevant action
A high score from a loyal customer may create a review or referral opportunity. The same score from a first-time buyer may lead to loyalty enrollment. A low score caused by a minor delay should not be handled like a safety concern, repeated failure or high-value customer risk. Howazit makes the next step conditional, contextual and measurable.
Incoming review
1★the same low score
Issue
reading
Inputs that can shape the action
Feedback
Score, selected answer, open text, sentiment, issue and severity.
Customer
Segment, loyalty level, value, history, language and consent.
Transaction
Product, service, order, branch, employee, amount and timing.
Journey
Touchpoint, stage, previous interactions and open cases.
Business rules
SLA, escalation path, compensation policy, campaign rules and ownership.
AI signals
Detected themes, urgency, risk, opportunity and recommended priority.
Action examples
Recover
Apology, clarification, compensation, escalation, callback, case creation and follow-up.
Retain
Save-at-risk flow, relevant benefit, proactive support or loyalty action.
Grow
Review, referral, repurchase, newsletter, loyalty, cross-sell or upsell.
Improve operations
Alert, task, ticket, manager notification, root-cause review or recurring issue workflow.
Learn
Additional question, deeper qualitative prompt or targeted follow-up research.
Why feedback-based actions matter
Other platforms help you understand feedback.
Howazit helps the customer and the business do something with it — immediately.
Your customers are already telling you what to do next.
Howazit helps you understand the signal and act while the moment still matters.