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Employee Engagement Pulse for Individual Contributors

Measures day-to-day engagement, recognition, workload, and retention risk among individual contributors (non-managers), separate from manager-level surveys. An AI follow-up interview digs into the concrete reasons behind each person's likelihood-to-recommend score instead of settling for a number.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

12 questions · ~7 min
Q01
Message

Thanks for taking a few minutes for this check-in on how work is going. This is just for individual contributors (not people managers), and your answers help us fix what's actually getting in your way. About 5 minutes, and honest answers are the most useful ones.

Q02
Opinion ScaleRequired

How likely are you to recommend this company as a great place to work to a friend or former colleague?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q03
MatrixRequired

How much do you agree with each statement about your day-to-day experience at work?

5 rows × 5 columns
  • I feel recognized for the work I do
  • I have real opportunities to grow my skills or career here
  • My workload is manageable most weeks
  • I trust the decisions leadership makes
  • I understand how my day-to-day work connects to company goals
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q04
Multiple ChoiceRequired

In the last 30 days, how often did a manager or teammate acknowledge or thank you for your work?

  • Never
  • Once
  • A few times
  • About weekly
  • Almost daily
Q05
Best–Worst Trade-off (MaxDiff)Required

Which of these would do the most to improve your day-to-day engagement at work? Pick the item that would help most and the item that would help least.

  • More recognition for my work
  • A clearer path for career growth
  • A more manageable workload
  • Better communication from leadership
  • More autonomy in how I do my work
  • Stronger relationships with my teammates
  • More competitive pay or benefits
Pick best & worst per setBest:Would help my engagement the mostWorst:Would help my engagement the least
Q06
Opinion ScaleRequired

How well does your direct manager support you in doing your best work?

Scale: 15
Min:Not supportive at allMax:Extremely supportive
Q07
Rating ScaleRequired

Rate how manageable your workload has been over the past month.

Range: 15
Min:OverwhelmingMax:Very manageable
Q08
AI Interview

Reference the respondent's likelihood-to-recommend score and ask what specifically drives that number - a concrete moment, project, or interaction from the last month, not a general impression. If they scored 6 or below, probe which single change (recognition, workload, growth opportunity, or leadership trust) would move their score up by 2 points and why that one matters most. If they scored 9-10, ask what would put their engagement at risk of dropping in the next 6 months.

Q09
Multiple ChoiceRequired

How likely are you to still be working here in 12 months?

  • Very unlikely
  • Unlikely
  • Unsure
  • Likely
  • Very likely
Q10
Multiple Choice

How long have you worked at this company?

  • Less than 6 months
  • 6 months to 1 year
  • 1-3 years
  • 3-5 years
  • More than 5 years
  • Prefer not to say
Q11
Dropdown

Which department or function do you work in? (Template note: replace this list with your own department names before launching.)

  • (Replace with Engineering)
  • (Replace with Sales)
  • (Replace with Marketing)
  • (Replace with Customer Support)
  • (Replace with Operations)
  • Other
  • Prefer not to say
Q12
Message

That's everything - thank you for being candid. Your responses feed into a report on what's driving engagement and retention for individual contributors, and nothing here is shared with your manager individually.

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • Purpose-built for individual contributors only, separating rank-and-file experience from manager-level dynamics rather than lumping all employees together
  • Pairs a likelihood-to-recommend score with an AI follow-up interview that asks each respondent what specifically drove their number, turning a metric into concrete, actionable reasons
  • Combines structured measurement (opinion scale, matrix, max-diff, rating) with recognition frequency and workload questions plus a 12-month retention-risk item for a full engagement-and-flight-risk picture
  • Every AI probe is a transparent, reviewable prompt, and responses roll into an auto-generated report without manual tagging of open-ended answers

SurveyMonkey

Employee Engagement Survey Template For Individual Contributors

This is the closest direct comparison, explicitly targeting individual contributors rather than managers. It's a fielding-ready static template backed by SurveyMonkey's broad distribution and analytics tools, but it relies on fixed questions rather than any adaptive follow-up.

What it does well

  • Explicitly scoped to individual contributors, matching audience intent
  • Backed by a mature, widely-used survey platform with strong distribution and reporting tools
  • Ready to field with minimal setup

Where it falls short

  • Fixed question set with no adaptive AI follow-up to probe the 'why' behind a recommend score
  • No voice interview option or guided screen-share tasks
  • No published methodology for how any scoring or analysis is derived

Jotform

Employee Engagement Survey Form Template

A general employee engagement form template rather than one specifically designed for individual contributors versus managers. It's a customizable, fielding-ready form built on Jotform's drag-and-drop builder, useful for quick deployment but generic in scope.

What it does well

  • Easy drag-and-drop customization within Jotform's form builder
  • Fielding-ready with no setup friction
  • Broad integrations typical of the Jotform ecosystem

Where it falls short

  • Not segmented for individual contributors specifically, so it mixes manager and IC concerns
  • Static question flow with no adaptive or AI-driven follow-up on responses
  • No automated per-response quality scoring or transparent prompt methodology

QuestionPro

Employee Engagement Survey Template

This page reads more like a general question-bank/guide for employee engagement surveys than a single ready-to-field survey targeting individual contributors specifically. It offers broad question coverage but no IC-specific structure or adaptive interviewing.

What it does well

  • Wide library of engagement-related survey questions to draw from
  • Backed by QuestionPro's established survey and analytics platform
  • Useful as a reference for building a custom survey

Where it falls short

  • Functions more as a question list/guide than a turnkey fielding-ready template
  • No adaptive AI follow-up interview to dig into individual scores
  • No voice AI interview or guided task capability

SurveySparrow

Remote Employee Engagement Survey Template

This template is scoped for remote/COVID-era employees rather than individual contributors as a role-based segment, so its focus differs from IC-versus-manager comparisons. It's a static, fielding-ready form suited to remote-work check-ins rather than deep score-driven follow-up.

What it does well

  • Tailored language for remote work conditions
  • Fielding-ready template requiring little setup
  • Part of SurveySparrow's conversational form format, which can feel more personable than a plain grid

Where it falls short

  • Built around remote-work/COVID context rather than an individual-contributor vs. manager distinction
  • No adaptive AI interview or voice-based follow-up to explore reasons behind scores
  • No transparent prompt methodology or automated quality scoring per response

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.