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Survey questions on employee engagement: best questions for eNPS and follow-up strategies for deeper insights

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Adam Sabla

·

Sep 11, 2025

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Finding the right survey questions on employee engagement can make the difference between surface-level data and actionable insights that transform your workplace.

Relying on eNPS (employee Net Promoter Score) by itself won’t surface the nuanced reasons behind employee sentiment—you need targeted follow-up to capture real context.

You’ll discover the best questions for eNPS, examples of strategic follow-ups, and how AI-powered tools can help dig deeper for meaningful employee engagement.

The foundation: crafting your eNPS question

When I want to truly gauge engagement, I always start with the classic eNPS question. eNPS measures one essential thing: the likelihood an employee would recommend their workplace to others. This quick pulse is a proven predictor of retention and advocacy.

On a scale from 0 to 10, how likely are you to recommend our company as a place to work?

The magic of eNPS is its clarity. Employees who respond are scored as promoters (9-10), passives (7-8), or detractors (0-6). That single number is powerful: companies with high eNPS outperform others in engagement, innovation, and profitability[1]. But it’s only the beginning—by using a robust AI survey generator, you can design surveys that capture more than just the score.

Smart follow-up questions for promoters, passives, and detractors

Following up based on eNPS score creates a tailored conversation—this is where the best questions for eNPS turn feedback into a goldmine.

Promoters (9-10): These employees are your champions. Dig into what keeps them motivated and how you can leverage their goodwill:

What do you enjoy most about working here? [3]

What would you tell a friend about our company?

Can you share a recent positive experience at work?

Passives (7-8): Often overlooked, passives offer a direct window into “what’s missing” between satisfaction and true loyalty:

What’s the one thing we could do to make your experience even better? [1]

What would prompt you to give our company a higher score? [1]

What holds you back from fully recommending us?

Detractors (0-6): Their feedback isn’t just critical—it’s directional:

What is the primary reason for your score? [1]

What changes would you need to see before recommending our company?

Have you experienced challenges we should address?

With Specific, AI-powered branching ensures every answer triggers the right follow-up in real time. Instead of generic “thanks for your feedback,” it feels more like a natural, thoughtful conversation with a real person—driving richer insights for every type of respondent.

Essential employee engagement questions beyond eNPS

Great engagement surveys don’t stop at eNPS. To understand context, I recommend mixing in open-ended and targeted questions across core engagement drivers:

Work-life balance:

How do you feel about your workload and your ability to manage work and personal commitments?

Career development:

Do you feel you have clear opportunities for growth and learning here?

Team dynamics:

How well does your team collaborate to solve problems or share knowledge?

Leadership effectiveness:

Do you feel leadership communicates openly and supports your success?

Company culture:

How would you describe our culture to a friend or new hire?

These topics, when paired with eNPS, give a 360° view. For example, a high eNPS but low career development score tells a very different story than a company that’s strong on both. Layering responses across these categories provides patterns and opportunities you can’t get from just a single score.

How AI summaries reveal engagement patterns you'd miss

Scouring through pages of open-ended responses is a drain—especially at scale. That’s why I rely on AI to surface patterns and themes in minutes, not weeks. With Specific, the AI engine analyzes differences between promoters, passives, and detractors to unearth what’s truly driving sentiment.

For example, AI can pick up that promoters often mention autonomy, while detractors might repeatedly reference lack of recognition or burnout. In one study, companies using AI-powered analysis found up to 30% more actionable insights in employee feedback compared to manual review [2].

Teams can even chat with AI about their survey data. I love this because it means I can ask questions like:

What are the most common reasons detractors give for their score in our marketing department?

Where do passives mention leadership gaps, and does this theme differ between engineering and sales?

By letting AI highlight cross-departmental themes or spikes in specific issues, you can proactively address root causes, not just symptoms.

Avoiding the engagement survey mistakes that kill response rates

Engagement surveys fail when employees feel like just another checkbox. Traditional surveys—long lists of generic questions—often spark fatigue, leading to anemic response rates. That’s where conversational surveys shine: they engage people dialogically, keeping feedback fresh and inviting.

Traditional Engagement Surveys

Conversational Engagement Surveys

Form-based, static list

Interactive, AI-driven conversation

Typically lacks follow-up

Smart, real-time probing tailored to responses

Often anonymous, but feels impersonal

Anonymous, yet personalized and engaging

Annually (risk of stale data)

Quarterly, keeping a regular pulse

Crucially, anonymity and psychological safety are non-negotiable. Employees must trust their feedback can’t be traced back to them—a foundation for honesty and candor. Quarterly cadence is your friend: organizations collecting feedback every three months see faster progress and fewer unpleasant surprises than those who survey just once a year [2].

With AI-driven follow-ups, even deeper conversations stay fast and personal. You can also communicate purpose up front—let people know how their feedback will drive real action. This transparency is a game-changer for trust and participation.

Your employee engagement survey roadmap

Ready to launch an engagement survey that actually moves the needle? Here’s a proven sequence I recommend:

  • Pilot first: Test with a small team or department and observe feedback patterns—tweak before scaling.

  • Timing is crucial: Run surveys outside busy periods (e.g., avoid quarter’s end or holiday crunch).

  • Secure leadership buy-in: Set clear expectations that leadership will review and act on results.

  • Set benchmarks: Use your initial eNPS scores and open-ended themes as “baseline” metrics.

  • Iterate with AI: With every round, use tools like AI survey editors to refine questions and surface new drivers based on employee input.

If you’re not measuring engagement quarterly, you’re missing early warning signs of turnover, disengagement, or burnout—signals that can cost dearly down the road.

Turn engagement insights into retention wins

The best engagement surveys combine eNPS scoring with thoughtful follow-ups and contextual questions. With AI, meaningful analysis becomes scalable—and teams can unlock patterns they’d never spot manually.

Using a conversational approach doesn’t just make surveys more approachable; it elevates response rates and the candor of employee feedback. Start now and create your own survey—the path to transforming workplace culture begins with listening smarter and acting braver.

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Sources

  1. Workleap. Know Your Employee Net Promoter Score (eNPS) and What to Do With It

  2. ProProfs Survey Blog. Best eNPS Survey Questions and Examples

  3. Source name. Title or description of source 3

Adam Sabla - Image Avatar

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.