Employee Work-Life Balance Assessment
Measures how well employees are able to separate work from personal life, where the biggest pressure points come from (workload, schedule unpredictability, always-on culture), and how supported they feel by managers. The AI follow-up digs into the single most disruptive factor each person names, surfacing a concrete recent example instead of a vague complaint.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
In the last 30 days, how often did you work outside your scheduled hours (evenings, weekends, or on days off)?
- Never
- Rarely (1-2 times)
- Sometimes (about weekly)
- Often (several times a week)
- Almost always
Overall, how satisfied are you with your current work-life balance?
How much do you agree with each statement about your day-to-day work?
- I can disconnect from work messages during personal time without guilt
- My workload is manageable within my scheduled hours
- My manager respects my time off
- I feel comfortable taking time off when I need it
- My schedule is predictable enough to plan my personal life
Which of these has the biggest effect on your work-life balance, and which has the least?
- Total volume of work
- Unpredictable schedule or last-minute changes
- Always-on messaging culture
- Limited or hard-to-use paid time off
- Commute or location demands
- Caregiving or family responsibilities
- Unclear expectations from leadership
How much control do you feel you have over each of the following?
- Your daily schedule
- Your total workload
- Where you work from
- When you take time off
On average, how many hours do you work in a typical week, including any work done outside scheduled hours?
Have you used all of your available paid time off in the last 12 months?
- Yes, all of it
- Used most of it
- Used about half
- Used very little or none
- I don't have paid time off
Ask the respondent to walk through the factor they rated as having the biggest effect on their work-life balance in the previous ranking question, anchored to a specific recent week or incident, not a generalization. Probe what actually happened, what they tried to do about it, and whether their manager or team was aware. If they describe the always-on culture or unpredictable schedule, ask what a realistic fix would look like for their role specifically.
How likely are you to tell a friend that this is a place where they can maintain a healthy work-life balance?
Which best describes your role level?
- Individual contributor
- Team lead / supervisor
- Manager
- Senior leader / executive
- Prefer not to say
How long have you been with the organization?
- Less than 1 year
- 1-3 years
- 4-7 years
- 8+ years
- Prefer not to say
What is your primary work arrangement?
- Fully on-site
- Hybrid
- Fully remote
- Prefer not to say
That's everything - thank you for your honesty. Responses are aggregated to identify the biggest drivers of overwork and will guide changes to workload, scheduling, and time-off policies.
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
- Goes beyond static rating questions with an AI follow-up interview that digs into whichever factor (workload, unpredictable schedule, always-on culture, etc.) each respondent flags as most disruptive, asking them to walk through a concrete recent example instead of leaving it as a vague complaint.
- Combines quantitative measures (opinion scale on satisfaction, numeric hours worked, matrix and slider-matrix on control/agreement, max-diff to force-rank pressure points) with open-ended probing in a single flow, so you get both the 'what' and the 'why'.
- Includes context questions on PTO usage, role level, tenure, and work arrangement so pressure points can be segmented by who's actually experiencing them.
- Transparent prompts and automated per-response quality scoring mean you can see exactly what the AI asked and trust that low-effort or contradictory responses are flagged before they hit your report.
Jotform
Work Life Balance Survey Form TemplateA fielding-ready static form template covering standard work-life balance questions. It's built on Jotform's general-purpose form builder, so it's easy to customize fields and branding, but it stops at collecting answers rather than exploring them.
What it does well
- Fielding-ready out of the box
- Easy drag-and-drop customization typical of Jotform's builder
- Can integrate with Jotform's broader form/workflow ecosystem
Where it falls short
- No adaptive follow-up questioning — respondents can't be probed for specifics behind a vague answer
- No voice interview option
- No automated per-response quality scoring or published prompt methodology
SurveyMonkey
Work Life Balance Survey Template & QuestionsA ready-to-use survey template with pre-written questions on work-life balance, backed by SurveyMonkey's established analytics and benchmarking tools. It's a solid standard questionnaire but relies on fixed question sets rather than dynamic probing.
What it does well
- Pre-written, fielding-ready question set
- Mature analytics/reporting dashboard
- Wide familiarity among respondents and admins
Where it falls short
- No AI-driven follow-up that adapts to each respondent's stated biggest pressure point
- No guided task or screen-share capability
- No transparent, inspectable AI prompts since there's no AI interview component
Typeform
Employee Work Life Balance Survey TemplateA conversational-style, fielding-ready template that uses Typeform's one-question-at-a-time format to make the survey feel more personal. Question flow can include basic logic jumps, but there's no true adaptive AI interviewing that generates a new question based on open-text content.
What it does well
- Polished, conversational respondent experience
- Fielding-ready with minimal setup
- Supports basic conditional logic between questions
Where it falls short
- Logic jumps are pre-set, not generated live from what the respondent actually says
- No voice AI interview option
- No automated quality scoring of individual responses
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.