Workforce Happiness & Job Confidence Pulse Survey
A CNBC|SurveyMonkey-style workforce pulse that tracks how happy, secure, and engaged employees feel right now — covering pay fairness, workload, leadership trust, and flight risk. An AI follow-up interview digs into the story behind low happiness or job-security scores so HR and leadership see the real drivers, not just the number.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Overall, how happy are you with your current job right now?
How confident are you that your job will still exist at this company in 12 months?
- Very confident
- Somewhat confident
- Not very confident
- Not at all confident
- Not sure
How much do you agree or disagree with each statement about your current workplace?
- I am paid fairly for the work I do
- My workload is manageable
- I have real opportunities to grow here
- I trust senior leadership to make good decisions
- I would recommend this company as a good place to work
When you think about what makes a job worth staying in, which of these matters most and which matters least to you?
- Compensation and raises
- Job security
- Flexible or remote work options
- Career growth opportunities
- Company culture
- Benefits (healthcare, retirement, etc.)
- Work-life balance
- Quality of my direct manager
What is your current work arrangement?
- Fully remote
- Hybrid (mix of remote and in-office)
- Fully in-office
- Fully on-site (non-office role)
How likely are you to actively look for a new job in the next 6 months?
Probe the reasoning behind the respondent's overall happiness score and job-security confidence rating. If either score was low, ask what specifically triggered it (a decision, a manager interaction, a market rumor, workload) and what would need to change for it to improve. If the respondent indicated they are likely to look for a new job, ask what would make them stay versus what is actively pushing them out. Get concrete, recent examples rather than general complaints.
If you could change one thing about your job or workplace right now, what would it be?
Which industry best describes your employer? (Prefer not to say if you'd rather skip this)
- Technology
- Financial services
- Healthcare
- Retail or consumer goods
- Manufacturing
- Education
- Government or nonprofit
- Professional services
- Other
- Prefer not to say
How many employees work at your company?
- Under 50
- 50-249
- 250-999
- 1,000-4,999
- 5,000 or more
- Prefer not to say
How long have you worked at your current company?
- Less than 1 year
- 1-3 years
- 4-7 years
- 8-15 years
- More than 15 years
- Prefer not to say
Which age range do you fall into?
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
That's everything — thank you for the honest feedback. Your responses feed into an aggregate workforce report used to guide decisions on pay, growth, and management practices; no individual answers are shared with your manager.
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 happiness and job-security scores by using an AI follow-up interview to probe the reasoning behind low happiness or job-security ratings, surfacing the 'why' behind the number.
- Combines quantitative measures (happiness scale, job-security confidence, flight-risk likelihood, agreement matrix, max-diff on what makes a job worth staying in) with an open long-text question and a targeted AI probe for richer context.
- Covers the same core pulse dimensions — pay fairness, workload, leadership trust, flight risk — plus firmographic and demographic breakouts (industry, company size, tenure, age) for segmented reporting.
- Automated per-response quality scoring and auto-generated reports mean HR and leadership get synthesized findings, not just raw score dumps to manually interpret.
SurveyMonkey
CNBC X Surveymonkey Workforce Survey TemplateA fielding-ready workforce survey template co-branded with CNBC, covering similar ground on workforce sentiment. It's a static question set built for benchmarking rather than open-ended discovery. Good for standardized tracking, but it won't adapt to individual responses.
What it does well
- Backed by a recognizable media brand (CNBC) for credibility
- Ready-to-field template within SurveyMonkey's established survey platform
- Likely benefits from broad benchmarking data given SurveyMonkey's scale
Where it falls short
- Static question format with no adaptive AI follow-up to dig into low scores
- No published methodology or prompt transparency since there are no AI-driven questions
- No automated per-response quality scoring or AI-generated narrative reports
SurveySparrow
Employee Confidence Pulse Survey TemplateA pulse-style template focused on employee confidence, originally framed around COVID-19-era workforce concerns. It offers a fixed set of confidence-related questions rather than follow-up probing tailored to each respondent. Useful as a quick baseline check, but the COVID-19 framing suggests it may need updating for general year-round use.
What it does well
- Purpose-built around employee confidence, aligning with job-security themes
- Simple, quick-to-deploy pulse format
- Part of a broader survey template library with conversational-style UI
Where it falls short
- No adaptive AI interview to explore reasons behind low confidence scores
- Framed around COVID-19 context, which may not reflect current workforce concerns
- No transparent prompt methodology or automated quality scoring of open responses
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.