AI user experience analysis and conversational intelligence platform
Based on user behavior evidence, proactively discover experience problems and growth opportunities
Organize user operations and interactions into auditable session records, automatically identify experience problems, conversion blocks, and hidden growth opportunities, and generate adjustment strategies with an evidence chain for manual confirmation by the product team before execution.
- 01Data preparationConfigure projects, upload or import masked user events, and define sensitive field blocking rules.
- 02Session re-establishmentAggregate user actions into a retrievable session playback timeline.
- 03Problem discoveryProactively analyze session evidence to identify candidates for experience friction, conversion blockage, retention or churn causes.
- 04strategy reviewGenerate adjustment strategies and growth opportunities and enter the planning stage for manual approval and verification.
TRACEABLE OUTPUT
0 live runsExperience Insights Workbench
Results, sources, failures, approvals, and rollbacks are saved by project.
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No business results yet
Parseable user event data has not been uploaded and session replay cannot be generated.
Data use boundary
Session replay and user interaction data may include personal information, input, email, phone, payment fields, or device identification. Necessary authorization should be obtained before uploading and desensitization as much as possible; the system will mask playback and analysis output based on masked_fields, but users still need to avoid uploading highly sensitive content such as passwords, complete bank card numbers, verification codes, and health information. Current 10 role review supplements: Users must be asked to confirm that the data has been authorized, minimized, and pre-desensitized before uploading. ;Original input content, passwords, verification codes, complete bank card numbers, CVVs, government identification numbers, precise health information, children's data or protected category information are not allowed to be uploaded by default. ; Sensitive field masking is auxiliary protection and does not replace authorization, compliance assessment, data minimization and pre-desensitization. ; When suspected highly sensitive data is detected, processing or quarantine must be refused and an auditable failure reason must be returned. ;Logs, audits, exports, model input summaries, and error messages must not contain unmasked sensitive values. ;Deletions must describe impact boundaries on original files, derived session records, problem records, policy records, export copies, and audit records.
Data retention
Project configuration, import file parsing results, session records, problem records, policy records and audit logs are saved for 90 days by default; the project administrator can delete them in advance. After deletion, the reports and workflow records of this site can no longer be used for analysis, but the exported external copies are not under the control of this site.
Human responsibility and rollback
This product outputs experience analysis and product strategy recommendations based on user behavior events. There may be risks of misjudgment, sample bias, and correlation being misunderstood as cause and effect. All changes involving online processes, prices, payments, accounts, privacy or production systems must be reviewed by the person in charge and executed independently in external systems.
Rollback only means that a certain report, problem record, policy record or workflow status in this site is restored to a previous version or marked as withdrawn; this product is not connected to external production systems, so it does not and cannot roll back actual changes to the website, application, payment process or third-party system.