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Confidentiality Controls in Hive

Category: Hives confidentiality controls | Type: Confidentiality overview and commitment


What you'll find in this guide;

  • Overview

  • Hive’s Confidentiality Commitment

  • Going Further with Confidentiality


 

Overview

Protecting participant confidentiality is central to building trust and encouraging employees to share honest feedback. Hive is designed with strong safeguards by default, ensuring that individual responses are never shown and that results are always reported at a group level.

For organisations that want to go further, Hive offers additional controls to give you more choice in how you manage access to results. These options allow you to adapt the platform to your specific structure and privacy requirements, while always keeping employee confidentiality intact.

Hive’s Confidentiality Commitment

When employees feel safe, they’re more likely to speak up, and that honesty is what powers meaningful change. At Hive, we’ve built confidentiality into the fabric of our platform, so you can build trust while collecting truly useful feedback.

Confidentiality isn’t a setting — it’s a system. Everything we design is built to:

  • Encourage honest feedback
  • Remove fear or futility
  • Protect individual identities while surfacing actionable insights
  • Make employees feel heard

This includes:

  • Response grouping rules (min. 3 to view results, 6 recommended)
  • Messenger aliases for two-way dialogue, without revealing identity
  • Confidential Open Door submissions for always-on feedback
  • Confidentiality that enables visibility

Going Further with Confidentiality

If you’d like to add extra layers of protection, Hive offers flexible tools you can apply to match your organisation’s data privacy standards:

  • Adjust segment size thresholds
    Set a higher minimum response threshold to increase confidence that results can’t be traced back to small groups.

  • Limit the attributes managers can access
    Restrict sensitive attributes (like Grade or Length of Service) to reduce unnecessary filtering options.

  • Group data for analysis
    Combine smaller segments into larger groups to make sure results always meet confidentiality standards.

  • Control survey-level access
    Decide which surveys different users can see results for, ensuring access is only granted where it’s needed.

Hive’s Additional Security Controls

  • Hide response rates for small groups
    Prevents users from identifying teams that fall below the confidentiality threshold.
  • Single attribute filtering
    Limits filtering to one attribute at a time, reducing the chance of over-narrowing results.
  • Tailored support from Hive’s data team
    Work with us to review survey results and refine access rules, ensuring data is shared in the most secure way.
  • Dynamic Team Filtering: Automatically grant managers access to filters based on the attributes present within their team. This removes the need to manually assign filter permissions while ensuring they only see segments relevant to their managed group.

Our goal is to provide a well-considered approach that works across a wide range of organisations with different levels of employee voice maturity, psychological safety, and appetite for risk. By combining clear minimum protections with flexible options, we help you balance confidentiality with the ability to generate meaningful, actionable insights that support your employee voice strategy.

💡 Would you like to discuss confidentiality further? Get in touch with our Support Team who are always happy to assist

Terminology used in this article 

Attribute An attribute is a category you can use to filter or report on results. Examples of attributes include Department, Age, Team, or Gender.
Segment A segment is a value within an attribute. For example, within the Department attribute, the segments might be Marketing, Sales, or Customer Service.