Feedback consolidation and data cleaning
Connect surveys, support tickets, app reviews, and community feedback. Zefi cleans, reconciles, and enriches data across sources to create a unified customer feedback repository.
Zefi AI
Freemium
AI customer feedback analysis and workflow automation for CX, product, and research teams.
Zefi AIとは？
Zefi AI is a voice of the customer platform that turns scattered customer feedback into structured insights and coordinated actions. It brings qualitative feedback and quantitative customer data together so teams can understand the reasons behind customer interactions.
Designed for customer experience, product, and UX research teams, Zefi combines data reconciliation, configurable classification, analytics, and automated workflows. Teams can maintain their own taxonomy and trace insights back to the original feedback, giving stakeholders a shared basis for decisions.
Zefi AIでできること
Configurable feedback classification
Automatically classify topics, extract mentions, and analyze sentiment. Granular tagging and metadata segmentation help teams organize feedback around their own taxonomy.
Dashboards and conversational analysis
Build custom dashboards and ask the AI assistant questions across connected feedback sources. Explore follow-up questions interactively and inspect the supporting feedback.
Survey collection
The Survey Module collects NPS, CSAT, and qualitative feedback through links or within a product. Targeting, triggering, visibility rules, and branching logic control who receives each survey and when.
Alerts and workflow automation
Use smart alerts and automated workflows to act on feedback and close the loop with customers. The Product Module maps opportunities and syncs them with an issue-tracking system.
Support quality assessment
The QA Module uses automated AI scorecards to monitor support quality and help teams assess agent performance.
利用シーン
“Prioritize product improvements”
Product teams can investigate recurring customer problems, map opportunities, and add customer context to issue-tracking tickets when planning roadmap priorities.
“Analyze research interviews”
UX researchers can extract and automatically tag insights from user interviews, detect trends, and share precise customer evidence with stakeholders.
“Monitor customer retention risks”
CX teams can use the Customer Intelligence Module to calculate and monitor customer health scores, identify potential churn risks, and plan proactive engagement.
よくある質問
How does setup work?
Zefi's team helps design your data pipeline, reconcile sources, select relevant signals and build a taxonomy. Connect the feedback sources appropriate for your setup, then classify and analyze their data together.
Can Zefi analyze feedback in multiple languages?
Zefi supports feedback in more than 100 languages and can analyze it together, allowing teams to aggregate customer insights across regions.
How is pricing structured?
Zefi offers Scale, Growth, and Enterprise plans through a pricing inquiry flow. Core subscriptions can be extended with Survey, QA, Brand, Product, and Customer Intelligence modules.
How do Scale and Growth limits differ?
Scale caps monthly items at 5,000, historical data at three months, seats at five and integrations at three. Growth caps monthly items at 20,000, historical data at six months, seats at ten and integrations at five. Each has one workspace. Enterprise is configured around organization-specific requirements.
クイック情報
- Category
- Voice of the customer analytics
- Primary users
- Customer experience, product, and UX research teams
- Enterprise access
- SSO option
- Structure
- Core subscription with optional Survey, QA, Brand, Product and Customer Intelligence modules
Zefi AI のトラフィック分析
トラフィックデータは参考情報としてご利用ください。
- ドメイン評価
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