DATA ENRICHMENT

Extract deeper insights with data enrichment

Enrich feedback with AI-powered workflows and standardized fields for deeper customer and product context

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Insights are only as strong as their data.
Give feedback the structure and context it needs.

Detect, surface, and interpret meaningful signals from feedback

Static fields can’t capture dynamic feedback. Create custom AI prompts to surface sentiment shifts, competitor mentions, and other signals that drive action.

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CUSTOM AI PROMPTS

Write natural language instructions to extract any signal. No code needed, infinitely flexible

Ingest & Batch Workflows

Enrich new feedback automatically and retroactively backfill historical records

ENRICHMENT FUNCTION LIBRARY

Build and evolve your enrichment library over time. Test, iterate, deploy in minutes.

Quantify the impact of feedback on key metrics

Quantifying feedback into metrics shouldn’t take hours. Automatically calculate resolution times, NPS, and more from raw feedback.

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CREATE NEW FIELDS

Compute key metrics from raw feedback via AI prompts and custom Python functions

Analysis-Ready Fields

New enriched fields are ready for analysis while filtering, sorting and quantifying impact

Real-time Performance Tracking

Metrics update instantly as new feedback arrives. No delays, no manual updates

Make feedback data consistent and comparable

Automatically align field names, values, and formats to ensure all feedback speaks the same language for analysis

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UNIFY CROSS-SOURCE FIELDS

Map “User ID,” “Reporter,” and “Author” into a single reliable identifier

Data CLean up & Standardization

Normalize fields like ids, country codes, dates across all sources to improve data hygiene

INGESTION BLOCKERS

Detect and obfuscate sensitive fields to meet compliance requirements

How Data Enrichment Works

From messy feedback to decision-ready metrics, transform raw signals into actionable intelligence

01

Ingest Feedback in Any Format

Ingest feedback in any format from unstructured text, inconsistent ratings, to mismatched fields across 50+ sources like Zendesk, Salesforce, app reviews, and surveys.

02

Unify Fields Across All Sources

Map inconsistent field names like "User ID," "Reporter," "Customer," and "Author" into single, reliable identifiers to create one consistent schema across 50+ sources.

03

ENABLE AI-Powered Enrichments

Create custom extraction rules with simple AI prompts. Define what signals matter from sentiment shifts through to competitive intel and risk indicators. Enterpret extracts them at scale.

04

Automatically Derive Metrics & Normalize

Choose from pre-built enrichments or write custom Python functions to convert ratings to NPS, calculate SLA metrics, and standardize timestamps. Automatically apply this to new data with one-click backfill for historical records.

05

Get Analysis-Ready Intelligence

Access perfectly structured data with your custom fields, derived metrics, and unified identifiers. Leverage data ready for dashboards, Wisdom AI queries, and strategic decisions.

use cases

Save time and stop manually tagging feedback.

Create flexible, extensible objects—like Agents, Employees, Stores, Personas, or Campaigns—to model exact context for sharper intelligence.