Here are some of the best questions for a police officer survey about peer support programs, along with tips on how to craft them. If you want, you can build this type of survey with Specific in just seconds.
Best open-ended questions for police officer survey about peer support programs
Open-ended questions are powerful for uncovering real experiences and emotions—especially in sensitive areas like officer wellbeing. They let respondents tell their stories, reveal motivations, and share valuable nuances you’d never get with rigid options. We recommend using them early to build trust or whenever you want to understand the “why” behind attitudes.
In your own words, what does peer support mean to you within our department?
Can you share an experience where peer support helped you or a colleague manage a difficult situation?
What aspects of our peer support program have been most helpful for you?
Are there any challenges or barriers that make it harder for you to participate in our peer support program?
How do you feel the department could improve peer support resources for officers?
What concerns, if any, do you have about confidentiality when accessing peer support services?
Can you describe how you typically learn about available peer support resources?
What suggestions do you have for making peer support more accessible or appealing to officers?
Have there been times when you needed support but chose not to use peer support services? What influenced your decision?
Is there anything else you’d like to share about your experience or expectations regarding peer support in our department?
Open responses to these questions can reveal why nearly 48% of officers report some PTSD symptoms, and how peer support can play a pivotal role in their wellbeing. [1]
Best single-select multiple-choice questions for police officer survey about peer support programs
Single-select multiple-choice questions make it quick to quantify answers and get a pulse on key issues. Use them when you want snapshot stats, or to help officers easily start the conversation when time or comfort is a factor. They’re also great to set up follow-ups and context for deeper questions.
Question: How confident do you feel in the confidentiality of our peer support program?
Very confident
Somewhat confident
Not confident
Not sure
Question: Have you ever used our department’s peer support services?
Yes, and found them helpful
Yes, but did not find them helpful
No, did not need support
No, I preferred not to
Other
Question: How likely are you to recommend our peer support program to a colleague?
Very likely
Somewhat likely
Unlikely
Not sure
When to follow up with “why?” If someone selects “No, I preferred not to” or “Not confident,” that’s a perfect moment for a follow-up. We’ll ask: “Can you share more about why you chose not to use the program?” or “What would increase your confidence?” Their explanation uncovers barriers to engagement—which 77.1% of non-users attribute to not feeling a need and 13.7% cite a preference not to seek peer support. [2]
When and why to add the “Other” choice? If multiple-choice options don’t capture every scenario, always include “Other.” A follow-up lets officers elaborate, revealing trends you might miss—like hesitations or alternative sources of support you hadn't considered.
Using NPS-type questions in peer support surveys
NPS (Net Promoter Score) asks, “How likely are you to recommend X to a friend or colleague?”—then follows up for detail. In police officer peer support surveys, it works well to measure both satisfaction and advocacy. If 8 out of 10 officers would seek peer support again, as research shows, NPS gives you both a number and open-ended feedback to continually improve. [2]
You can generate an NPS peer support survey for officers and start learning from the results right away.
The power of follow-up questions
To dig beneath surface-level responses, automated follow-up questions are game-changing. We use AI to generate smart follow-ups in real time, tailoring each probe to the officer’s answer—just like an experienced interviewer. This not only saves the back-and-forth by email, but also creates a natural flow, encouraging more honest and thoughtful feedback.
Officer: “I didn’t use peer support when I was struggling.”
AI follow-up: “Can you share what stopped you from using peer support? Was it about confidentiality, stigma, or something else?”
This clarifies intent, identifies barriers, and can guide program improvements immediately.
How many follow-ups to ask? Usually, 2–3 follow-ups get you rich insights without fatiguing the respondent. Specific lets you control this with settings, and respondents can skip ahead when they’ve fully answered—balancing depth and comfort.
This makes it a conversational survey. Instead of feeling like an interrogation, the process flows like a real chat—building trust and boosting response quality.
AI analysis of open-ended responses is easy. AI-powered tools (like Specific’s survey response analysis) let you instantly see themes, summaries, and actionable insights from even long-winded or unstructured answers—no more slogging through pages of text.
Automated, conversational follow-ups are a new concept—we encourage you to try generating a survey and experience the difference for yourself.
How to prompt ChatGPT to generate amazing police officer peer support questions
For custom ideas, AI can deliver! Here’s our favorite starting prompt:
Suggest 10 open-ended questions for police officer survey about peer support programs.
But you'll get even better results when you add context about your department, challenges, and goals—for example:
We are a mid-sized city police department seeking to assess awareness, barriers, and officer needs regarding peer support programs. Suggest 10 open-ended questions tailored to officers in our environment, accounting for confidentiality concerns and job stress.
Once you have your questions, take it a step further:
Look at the questions and categorize them. Output categories with the questions under them.
Then, pick what matters most and dig deeper:
Generate 10 questions for categories “Barriers,” “Program Impact,” and “Officer Awareness.”
What is a conversational survey (AI survey example)
Conversational surveys are different from old-school forms. Instead of static, impersonal lists, you interact in a chat-like flow. Each answer can prompt tailored follow-ups, making the respondent feel heard—and giving you richer, more relevant data.
Here’s a quick look at how manual and AI-generated survey creation stack up:
Manual survey creation | AI-generated (conversational) survey |
|---|---|
Time-consuming to design questions and logic, especially for follow-ups | Survey is auto-generated from a simple prompt—including dynamic follow-ups |
Responses can be shallow, and analysis is manual | Responses are deeper and richer—analysis is automated and real-time |
Static experience, can feel like a test | Smooth, friendly chat—higher completion rates and more honest responses |
Why use AI for police officer surveys? AI surveys adjust in real time, asking the best question at the right moment, and instantly highlighting key findings. For peer support programs—where building trust and context matters—this is a huge edge. To see an AI survey example, just describe your scenario and let Specific do the heavy lifting.
Specific is designed to support any level of survey creator with the best in conversational user experience, from building the survey itself to gathering and analyzing feedback. Want a step-by-step walkthrough? See our guide on how to create a police officer survey about peer support programs.
See this peer support programs survey example now
Jump right in and see how fast you can gather real, actionable insights from officers—leveraging AI-powered, conversational surveys that capture every detail and nuance.