"We need a ready-made employee satisfaction survey." This is a common request, and it is often answered with a generic list of questions found online. But the things that shape the satisfaction of a shift worker in a factory and a developer at a software company are very different. You can ask both of them the same questions, but the results will not fully reflect either one's real priorities.
- The same survey does not produce the same insight in every industry. Employees' day-to-day reality, such as shift patterns, customer contact, workload and career expectations, varies by industry, and the survey needs to reflect that.
- The soundest design combines a core question set that stays the same across industries with a short industry-specific module. The core set enables comparison; the module adds depth.
- Safety and first-line managers stand out in manufacturing, store management and customer pressure in retail, workload and burnout in healthcare, growth and autonomy in technology, and target pressure and career paths in financial services.
- How you run the survey matters as much as the questions. Sending non-desk employees a personal link by SMS noticeably increases participation.
In this article we look at how an employee satisfaction survey can be designed for five different industries: the satisfaction dimensions that stand out in each, sample questions, and what to watch out for when running the survey. If you want to start with the basics, take a look at our article on what an employee satisfaction survey is.
First a common core, then an industry module
Tailoring a survey to an industry does not mean writing a new survey from scratch for each one. The soundest structure has two layers:
- Core question set: Dimensions that apply in every industry, such as overall satisfaction, relationship with the manager, recognition, development opportunities, perceptions of pay and benefits, communication and intention to stay. This set stays unchanged so you can compare results across years, units and organizations.
- Industry module: An additional section of 5–10 items covering what shapes the employee experience in that industry. This module surfaces issues the general questions miss.
You can find a broad pool of questions for building the core set in our article on employee satisfaction survey questions. The examples below focus on the industry module.
1. Manufacturing and industry
Employee reality: Shift work, physical workload, safety risks and communication that largely flows through supervisors and shift leaders. Many employees have no corporate email address and don't sit at a computer during the day.
Key dimensions: Health and safety, working conditions, shift patterns, the first-line manager, equipment and tools, fair distribution of work.
Sample questions:
- When I report a safety risk, I believe it is taken seriously.
- I am given the equipment and training I need to do my job safely.
- Shift schedules are set fairly and far enough in advance.
- My supervisor treats me with respect and listens to my concerns.
- Work on my line / in my section is distributed fairly among employees.
Practical tip: Keep the survey short and write it in plain, everyday language. Reach employees by sending a personal link by SMS to their mobile phones, give them time to complete the survey during their shift or breaks, and schedule reminders around shift times. We cover other ways to increase participation in the field in our article on how to survey blue-collar employees.
2. Retail
Employee reality: Many stores spread across different locations, intense customer contact, heavier workloads at weekends and during holidays, and high employee turnover. The employee experience depends heavily on the store manager.
Key dimensions: Store management, customer-related stress, staffing levels, working hours and leave planning, communication between head office and stores, career steps.
Sample questions:
- There are enough staff in our store to get the work done.
- When I deal with a difficult customer, I know my manager has my back.
- My working hours and time off are planned reasonably far in advance.
- Decisions and campaigns from head office reach the store on time and are clearly explained.
- I see a career path for myself as a store employee at this company.
Practical tip: Report results by store and region; in retail, the real differences appear between stores. For small stores, combine breakdowns that fall below the anonymity threshold at regional level. Schedule the survey away from campaign and peak seasons, and again reach employees on their personal phones by SMS.
3. Healthcare
Employee reality: Long and irregular hours, on-call duty, emotionally demanding work and intense contact with patients and their relatives. Very different professional groups, such as physicians, nurses, technicians and support staff, work together in the same organization.
Key dimensions: Workload and burnout, teamwork, psychological safety, protection against violence and disrespect, perceived fairness between professional groups, opportunities to rest and recover.
Sample questions:
- My workload allows me to do my job without compromising patient safety.
- I have enough time to rest between shifts and on-call duties.
- I am not afraid of being blamed when I report a mistake or a risky situation.
- I believe my organization protects me from verbal or physical violence from patients or their relatives.
- There is respectful collaboration between the different professional groups.
Practical tip: Always break results down by professional group and unit; differences between, say, the emergency department and outpatient clinics, or between physicians and support staff, disappear in the overall average. If you want to measure burnout in more depth, see our article on the Maslach Burnout Inventory, and for measuring how safe it feels to report mistakes, our article on the psychological safety survey. Keep the survey open longer to fit the on-call schedule (at least two weeks) so people on different shifts can take part.
4. Technology
Employee reality: Desk-based work that is often hybrid or remote, fast-changing technologies, a competitive labour market and high expectations. It is relatively easy for talented employees to move to another employer.
Key dimensions: Learning and development, autonomy, meaningful work, technical infrastructure and tools, flexibility, pay competitiveness, career and technical expert tracks.
Sample questions:
- I have enough time and resources to learn new skills in my job.
- I have the freedom to decide how I do my work.
- The tools and technical infrastructure I use help me work efficiently.
- There is a career path that lets me grow in my technical expertise without becoming a manager.
- Compared with what people doing similar work earn in the market, I think my pay is fair.
Practical tip: In this industry, short and frequent pulse surveys work well alongside the annual survey; employees expect fast feedback and visible action. Give more room to open-ended questions, as technology employees tend to write detailed and constructive comments. If people work in a hybrid model, also compare results by work arrangement.
5. Financial services and banking
Employee reality: Sales and performance targets, heavy regulatory and compliance requirements, clearly different working conditions in branches and at head office, a hierarchical structure, and career progression as an important source of motivation.
Key dimensions: Target pressure and work-life balance, fairness of targets, career paths and transparency in promotions, communication between branches and head office, ethics and customer focus, perceived anonymity.
Sample questions:
- The targets set for me are achievable and fair.
- The pressure to meet my targets does not harm my life outside work.
- I know the criteria used for promotion and appointment decisions.
- I am not expected to act against the customer's interests to meet my targets.
- Head office understands and supports the challenges branches face.
Practical tip: In hierarchical organizations, employees may hesitate to answer honestly. Explain clearly before the survey how anonymity is protected, and combine results for small branches at regional level. You can find more detail in our article on anonymity in employee surveys. Reporting branch and head office results separately makes the two different employee experiences visible.
Lessons shared across industries
The five industries look different, but a good satisfaction survey has a few things in common:
- The first-line manager matters in every industry. The shift supervisor in a factory, the store manager in retail, the charge nurse in a hospital, the branch manager in a bank: the person who most shapes an employee's day-to-day experience is always their direct manager. Include questions on this in the core set in every industry.
- Breakdowns say more than averages. Shift, store, professional group, branch or work arrangement: every industry has its own breakdowns. We cover this in detail in our article on segmentation in employee surveys.
- How you run the survey matters as much as the questions. The most practical way to reach non-desk employees is a personal link sent by SMS, and the survey should be short and mobile-friendly. For survey length, see our article on how long an employee survey should take.
- Keep the core set unchanged for comparison. Industry comparisons are only meaningful when the same questions are asked on the same scale. Our article on employee engagement benchmarks can help here.
Common mistakes
- Using a generic list from the internet as is: The most critical issues in the industry (for example violence in healthcare or safety in manufacturing) may not appear in the survey at all.
- Running a completely different survey for each unit: You lose the ability to compare across units and years.
- Taking language designed for office workers into the field: Long, abstract and corporate wording is hard to follow for frontline employees and lowers participation.
- Ignoring the industry's peak periods: Campaign periods in retail, outbreak periods in healthcare and period-end closing in finance all affect participation and responses.
Conclusion
An employee satisfaction survey asks the same question in every industry: "How satisfied are our employees with working here, and why?" But the answer lies in different places depending on the industry: in safety in manufacturing, in store management in retail, in workload in healthcare, in growth in technology and in the fairness of targets in financial services. Keeping a common core question set and adding a short module specific to your industry is the most reliable way to get results that are both comparable and genuinely useful.
Frequently asked questions
Should we build a separate survey for each industry?
No. The recommended approach is to combine a core question set that stays the same across organizations with an industry-specific module of 5–10 items. This allows both internal and industry comparison and still measures the issues unique to the industry.
Which questions should be common to all industries?
Core dimensions such as overall satisfaction, relationship with the manager, recognition, development opportunities, perceptions of pay and benefits, communication and intention to stay should be asked in every industry. These questions make comparisons across organizations and years possible.
How do you reach employees who don't work at a desk?
The most practical way is to send a personal survey link by SMS to the employee's mobile phone. Keeping the survey short and mobile-friendly, allowing time to complete it during working hours and timing reminders around shift patterns all increase participation.
How long should an industry-specific survey be?
In field-based and shift-based industries it should take no more than 10–12 minutes, and in office-based industries no more than 15 minutes. Keep the industry module short so the total number of questions stays balanced with the core set.
How do you benchmark satisfaction across an industry?
A comparison is only meaningful when the same questions are asked on the same scale. For benchmarking, use the core question set without changes and compare results with the average of organizations in the same industry.



