People Data Labs Strawberry

Your AI companion for People Data Labs.

People data is valuable only when the record is fit for the decision being made. Strawberry can work from People Data Labs tabs and your supporting browser context to organise fields, flag gaps or conflicts, and prepare a prospecting or enrichment review without treating a data point as unquestionable fact.

Use the output to improve research discipline, not to turn a polished data record into permission to make an unchecked claim.

Assess a person or company record before acting on it.

A profile may be rich in fields yet still miss the one fact that matters for a sales or recruiting decision. Strawberry can structure the record around what is observed, what conflicts with another source, and what needs verification.

Compare enrichment fields with the decision they support.

The quality of enrichment should be judged against a specific use: routing, segmentation, account research, or outreach preparation. Use the browser context to create a field-level assessment rather than relying on a raw completeness score.

Prepare outreach research without overclaiming certainty.

Good outreach research separates evidence from inference.

Strawberry can prepare an account note from the data and tabs you provide, with a clear boundary around details that should be checked before they appear in a message.

Create a disciplined data-quality review for the team.

Before each weekday enrichment batch, compare the requested roles, geography, company filters, and confidence criteria against the People Data Labs results, then flag partial or conflicting matches for a reviewer. Writing an uncertain person or company match into the CRM can misroute outreach, pollute account records, and make later segmentation less trustworthy.

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Frequently asked questions

No. Open People Data Labs in a signed-in browser tab and ask a companion to work from the available page context.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents