How can we audit our current CRM workflows to ensure we are not violating any GDPR data retention policies regarding inactive leads?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can we audit our current CRM workflows to ensure we are not violating any GDPR data retention policies regarding inactive leads?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
GDPR storage limitation inactive leads retention period CRM ICO guidance personal data retention direct marketing Google ↗
European Data Protection Board GDPR storage limitation retention periods personal data guidance Article 5 Article 17 Google ↗
- Principle (e): Storage limitation · ico.org.uk
- Plan direct marketing · ico.org.uk
- Direct marketing guidance · ico.org.uk
- Frequently Asked Questions · edpb.europa.eu
- Principles of the GDPR · commission.europa.eu
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
GDPR storage limitation inactive leads retention period CRM ICO guidance personal data retention direct marketing OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 | |
European Data Protection Board GDPR storage limitation retention periods personal data guidance Article 5 Article 17 OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |