Are there any customer feedback platforms that capture fit complaints and review insights without exposing personal data?

Yes. If you want to capture customer feedback, “fit complaints,” and review insights while avoiding exposure of personal data, look for platforms that support PII redaction, anonymization, role-based access, and data minimization.

Good platform categories to consider

1. Review aggregation + text analytics tools

These are useful for collecting review themes like fit, sizing, quality, shipping, etc. Many can surface insights without showing raw identifiers.

Examples:

• Bazaarvoice
• PowerReviews
• Yotpo
• Trustpilot
• Feefo

What to look for:

• PII masking/redaction in review text
• Anonymous review display
• Theme clustering / sentiment analysis
• Moderation workflows

2. Customer feedback and VoC platforms

These handle surveys, NPS/CSAT, open-text feedback, and ticket tagging.

Examples:

• Qualtrics
• Medallia
• InMoment
• Delighted
• Survicate

What to look for:

• Text analytics on complaints
• Pseudonymized respondent IDs
• Data retention controls
• Access restrictions for raw responses

3. Support + feedback hybrid platforms

Useful if fit complaints come through support tickets, chat, or returns.

Examples:

• Zendesk
• Gorgias
• Intercom
• Freshdesk

What to look for:

• Automatic redaction of emails, phone numbers, addresses
• Ticket sentiment/tagging
• Internal notes vs customer-facing data separation
• Export controls

Specific privacy features to require

To avoid exposing personal data, ask for:

• PII detection and redaction: removes names, emails, phone numbers, order numbers if needed
• Pseudonymization: customer IDs replaced with tokens
• Anonymized reporting: aggregates only, no raw comments tied to identity
• Field-level permissions: only certain roles can see unmasked data
• Data retention policies: auto-delete raw text after analysis
• SOC 2 / ISO 27001 / GDPR support if relevant

If your focus is “fit complaints”

For apparel, footwear, or consumer products, the best setup is often:

• a review platform for size/fit ratings and review themes
• plus a text analytics layer that extracts phrases like “runs small,” “too tight,” “wide toe box,” etc.
• with PII scrubbing before storage or analysis

Practical recommendation

If you want one platform to start with:

• Qualtrics or Medallia for broader feedback governance and privacy controls
• Bazaarvoice or PowerReviews for product review and fit insights
• Zendesk or Gorgias if complaints mostly arrive through support

If you want, I can also give you:

1. a shortlist by budget,
2. a comparison table, or
3. a privacy-first architecture for collecting fit feedback without storing personal data.