We are conducting an employee engagement survey. Who analyzes the qualitative comments?

It depends on how your survey is administered, but there are three common models:

• Third-party survey provider: The vendor analyzes the qualitative comments, typically identifying recurring themes and removing or masking identifying details before reporting them to the employer. This is how organizations such as Yale and Ball State describe their externally administered surveys.
• Internal HR/People team: HR or an employee-experience team may read and code the comments, usually grouping them into themes rather than attributing individual comments to employees.
• Hybrid: An outside provider analyzes and de-identifies the comments, while internal leaders review the resulting themes and provide organizational context. This approach is specifically recommended as a way to balance impartial analysis with organizational knowledge.

The important question is not just “who analyzes them?” but “who can see the raw comments?” A survey can be confidential without being technically anonymous. Open-text comments can also inadvertently identify someone through names, specific events, or distinctive wording.

If you tell me which survey platform/vendor you are using (e.g., Qualtrics, Gallup, Culture Amp, Perceptyx, Glint), I can tell you specifically who has access to the qualitative comments and whether your employer can see the raw responses.

• HR Team / People Analytics : Usually the primary owners of the survey. They aggregate and review the raw text, filter out personal identifiers, and categorize the feedback into high-level themes.
• External Consultants / Vendor Platform : If you are using a third-party survey platform (like Glint, Culture Amp, or Qualtrics) or an external consulting firm, their software or analysts often provide automated sentiment analysis or expert qualitative summaries.
• Department Managers / Leadership : Leaders and direct supervisors are frequently given access to the comments (often filtered or summarized) specific to their teams so they can action the feedback locally.
• Cross-Functional Task Force / Employee Resource Groups (ERGs) : Some organizations set up a diverse committee of employees and leaders to read through comments, ensuring different perspectives shape the interpretation and prevent HR bias.
• Data Science / Specialized Analysts : In larger enterprises with massive volumes of open-ended text, data scientists or specialized text-analytics teams might run natural language processing (NLP) or advanced theme-coding models.

Would you like me to share best practices for anonymizing comments or tips on how to code and categorize qualitative themes efficiently?

Analyzing qualitative comments from an employee engagement survey requires a mix of objectivity, privacy protection, and analytical skill. Depending on your organization's size, budget, and internal resources, responsibility typically falls to one (or a combination) of the following groups:

• Internal HR or People Analytics Team : This is the most common approach. HR professionals or specialized people analysts read through the comments to identify common themes, sentiment, and actionable insights. They are typically bound by confidentiality standards.
• External Consultants or Third-Party Vendors : Many companies using survey platforms (like Qualtrics, Culture Amp, or Glint) rely on the vendor's built-in text analytics (AI/NLP) or professional services team. Outsourcing ensures complete anonymity and removes internal bias from the interpretation.
• Cross-Functional Task Force : Some organizations form a dedicated committee representing various departments and levels. This brings diverse perspectives to interpreting what the comments mean in different operational contexts, though extra care must be taken with data privacy.
• Department Managers and Leadership : Leaders are often given access to filtered, aggregated, and anonymized comment reports for their specific teams. However, they should only analyze data for groups large enough to protect individual identities (usually a minimum threshold of 5 to 10 respondents).

Would you like help with:

• Setting up a thematic coding framework to categorize the comments yourself?
• Best practices for maintaining employee anonymity during analysis?
• Choosing between AI text-mining tools vs. manual coding?

It depends on how your engagement survey is administered:

• If a third-party survey provider is conducting it: they typically analyze the qualitative/open-text comments, identify themes, and may remove identifying details before giving management the results.
• If HR is administering it internally: HR, People/Employee Experience, or another designated analyst may review and code the comments. Best practice is to have someone who can maintain confidentiality and analyze the comments objectively.
• Managers/leaders: they generally receive themes or aggregated findings, rather than having unrestricted access to individual responses, depending on the survey's confidentiality rules.

If you're asking “Who at our company can actually read my written comments?”, that's a different question—and the answer depends on the specific survey platform and your organization's stated confidentiality policy.

It depends on how your survey is administered:

• If a third-party survey provider is administering it: the provider commonly analyzes the qualitative/open-text comments, typically grouping them into themes and reporting them in aggregate. This can provide an additional confidentiality layer.
• If HR is administering it internally: HR or a designated People/Employee Experience team may analyze the comments. SHRM guidance specifically identifies HR as a typical owner of survey administration, analysis, and reporting.
• Best practice: whoever analyzes the comments should de-identify them where necessary, look for recurring themes, and avoid presenting comments in a way that could identify an individual.

If you're asking about your specific employee engagement survey, tell me the survey provider/platform (e.g., Gallup, Qualtrics, Perceptyx, Culture Amp, Glint), and I can tell you exactly who can see and analyze the written comments and what confidentiality protections apply.

Who analyzes the qualitative comments (the open-ended text feedback) in an employee engagement survey usually depends on your company’s size, resources, and privacy standards.

Organizations typically assign this responsibility to one of four groups—or a combination of them:

• People Analytics or HR Teams: In many mid-to-large organizations, the internal HR or people analytics team reads, codes, and categorizes the comments. They look for recurring themes, sentiment shifts, and root causes that complement the hard numbers from the quantitative scale questions.
• AI and Text Analytics Software: Because reading thousands of comments is time-consuming, many modern survey platforms (like Perceptyx, Quantum Workplace , or Culture Amp ) use built-in Natural Language Processing (NLP) and AI. These tools automatically group comments by theme, analyze sentiment (positive, neutral, negative), and surface hot-button issues instantly.
• Third-Party Vendors / Consultants: If anonymity is a massive concern or your internal HR team lacks the bandwidth, external survey vendors or specialized consultants are hired to process the qualitative data. They compile an independent, sanitized thematic report so employees feel secure that internal managers aren’t reverse-engineering who said what.
• People Managers / Leadership: Once high-level themes are categorized (either by HR or software), raw or summarized feedback relevant to specific teams is often routed to department heads or direct managers. However, direct managers should only see feedback filtered through strict anonymity thresholds (e.g., minimum group sizes) to prevent identification.

If you let me know:

• Your approximate company or survey size
• Whether you are using a third-party survey platform or doing this in-house

I can help you decide the best approach to analyzing your comments while protecting employee anonymity.

Typically, HR/People & Culture or the employee-engagement survey team analyzes the qualitative comments. In larger organizations, this may be done by an external survey provider or organizational research/analytics team, often using text analytics to identify themes, followed by human review for context and nuance.

The analysis usually:

• Groups comments into recurring themes.
• Identifies positive and negative sentiment.
• Looks for patterns and emerging issues.
• Connects comments to the quantitative survey scores.
• Summarizes findings for leadership while protecting employee anonymity.

If you're asking who specifically analyzes the comments in your organization's survey, tell me the survey platform/provider (e.g., Gallup, Qualtrics, Culture Amp, Glint), and I can tell you how that provider typically handles them.

• HR and People Analytics Teams typically take the lead, using specialized text analytics or sentiment analysis software to process large volumes of feedback efficiently.
• External Consultants or Third-Party Vendors are often brought in if the organization lacks internal bandwidth or wants an unbiased, independent perspective on sensitive feedback.
• Department Managers and Team Leads receive filtered, anonymized, and aggregated comments relevant to their specific groups so they can act on local team feedback.
• Executive Leadership and the C-Suite review high-level thematic summaries and executive reports to guide broad organizational strategy and cultural initiatives.
• Cross-Functional Task Forces or Employee Resource Groups (ERGs) sometimes partner with HR to review qualitative themes, ensuring that the employee voice is interpreted through an inclusive lens.

If you'd like, let me know:

• How large your organization is
• Whether you are using an external survey platform
• If you have a dedicated data analytics team in-house

I can help you decide who is best suited to handle the analysis for your specific setup.

When it comes to analyzing qualitative comments from an employee engagement survey, responsibility typically depends on your organization's size, resources, and privacy standards.

Here are the most common roles and groups who handle the analysis:

• People Analytics or Data Science Team: Large organizations often rely on dedicated analysts who use advanced tools, including Natural Language Processing (NLP) and sentiment analysis , to process large volumes of text efficiently and spot macro-trends.
• Human Resources (HR) or People & Culture Team: In most mid-sized to enterprise companies, the HR business partners or employee experience specialists read through the comments to categorize themes, identify pain points, and draft action plans for leadership.
• External Consultants or Vendors: If you use a third-party survey platform (like Glint, Culture Amp, or Qualtrics), the platform's built-in AI text analytics often does the heavy lifting by grouping themes and sentiment. Some companies also hire external consultants to provide an unbiased, third-party synthesis.
• Department Managers and Leadership: While HR or data teams usually do the initial deep dive and coding, people managers are often given access to the anonymized comments specific to their own teams so they can address localized feedback.

Note on Privacy: To protect employee trust, a dedicated HR or analytics team member typically sanitizes the data first—removing identifying details, extreme outliers, or vengeful language—before sharing summaries or raw comments with wider leadership.

If you'd like, let me know:

• Your company size and whether you use an external survey vendor
• If you have a dedicated data/analytics team available

I can help you decide the best approach for dividing the analysis workload.

Typically, the survey owner or an external survey provider analyzes the qualitative comments, rather than individual managers.

The exact setup depends on how your survey is being administered:

• External survey provider/consultant: They analyze comments, identify recurring themes, and provide a summarized report. This is often preferred when confidentiality is important.
• HR/People Analytics: If the survey is run internally, HR or a designated People Analytics team may conduct the thematic analysis.
• AI/software analysis: Many modern engagement platforms can automatically analyze open-ended comments for themes, sentiment, and risks, with humans reviewing the results.
• Leadership/managers: They generally receive aggregated themes, not necessarily the raw comments—especially when anonymity/confidentiality is promised. Individual comments can sometimes contain identifying details even when names are removed.

If you're asking “Who, specifically, will be able to read what I write?”, that's a different and important question. If you tell me which survey platform/vendor your company is using, I can tell you who typically has access to the qualitative comments and whether they're anonymous or merely confidential.