Q01
Message
All templatesEmployee & HR
Intern Feedback and Program Effectiveness Survey
Captures how interns experienced onboarding, mentorship, meaningful work, and team culture, then has them trade off which parts of the program mattered most. An AI follow-up interview digs into the real story behind their overall rating. Built for HR and program leads assessing internship ROI and full-time conversion potential.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
11 questions · ~6 min
Q02
Opinion ScaleRequired
Overall, how would you rate your internship experience?
Scale: 1 – 7
Min:PoorMax:Excellent
Q03
MatrixRequired
How much do you agree with each statement about your internship?
5 rows × 5 columns
- Onboarding gave me clear expectations for my role
- My manager or mentor gave me regular, useful feedback
- I worked on projects that felt meaningful, not just busywork
- I felt included in team discussions and social activities
- I had opportunities to build skills relevant to my career goals
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q04
Multiple ChoiceRequired
In a typical month, how many one-on-one check-ins did you have with your manager or mentor?
- None
- 1
- 2-3
- 4 or more
Q05
Best–Worst Trade-off (MaxDiff)Required
Which of these mattered most and least to your overall experience?
- Quality of mentorship
- Meaningful, real project work
- Compensation and benefits
- Opportunities to network with employees
- Clarity of expectations and goals
- Potential for a full-time offer
- Social events and team culture
- Learning and skill-building sessions
Pick best & worst per setBest:Mattered most to my experienceWorst:Mattered least to my experience
Q06
Opinion ScaleRequired
How likely are you to recommend this internship program to a friend or classmate?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q07
Multiple ChoiceRequired
If offered a full-time position at the end of this internship, how likely would you be to accept?
- Definitely would accept
- Probably would accept
- Not sure
- Probably would not accept
- Definitely would not accept
Q08
AI Interview
Explore the real story behind the respondent's overall rating: ask for a specific moment or project that shaped how they feel about the internship, and probe whether mentorship and project ownership matched their expectations. If their full-time acceptance likelihood was low or 'not sure,' dig into what would need to change for them to say yes. If they rated the mentorship-related statements low, ask what better support would have looked like.
Q09
Multiple Choice
What best describes your current school year or class standing?
- First-year
- Sophomore
- Junior
- Senior
- Graduate student
- Prefer not to say
Q10
Multiple Choice
What area of study best matches your degree program?
- Business
- Engineering
- Computer Science
- Liberal Arts
- Sciences
- Prefer not to say
Q11
Message
Thank you for the candid feedback! Your responses will be combined with other interns' answers to improve mentorship, project assignments, and onboarding for future cohorts.
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
- Pairs a straightforward overall rating and agreement matrix with a max-diff trade-off question, so program leads see not just satisfaction but which parts of onboarding, mentorship, or culture actually mattered most
- Includes an AI follow-up interview that probes the specific story behind each intern's overall rating, surfacing context a static rating scale or open-text box would miss
- Captures full-time conversion signal directly by asking how likely interns are to accept a full-time offer, tying feedback to internship ROI
- Segments responses by school year and area of study so HR can spot patterns across cohorts, plus opens and closes with plain-language chat messages that keep the survey conversational
Jotform
Intern Feedback Form TemplateA ready-to-use static form template for collecting intern feedback, built on Jotform's drag-and-drop form builder with customizable fields. It's a straightforward data-collection form rather than an interview-style survey, so all questions are fixed in advance. Good for quick deployment but not for probing individual responses further.
What it does well
- Easy to customize and embed via Jotform's form builder
- Likely includes ready-made fields for common intern feedback topics
- Free-tier accessible for basic use cases
Where it falls short
- Static form fields with no adaptive follow-up questioning based on individual answers
- No mechanism to dig into the 'why' behind a low or high rating
- No automated per-response quality scoring or transparent prompt methodology
SurveyMonkey
Intern Feedback Survey Template & QuestionsA pre-built survey template with standard intern feedback questions, backed by SurveyMonkey's established survey infrastructure and reporting dashboards. It's designed for broad rollout and benchmarking rather than deep individual-response exploration. Useful as a baseline question set but static in structure.
What it does well
- Established survey platform with broad distribution options
- Pre-written question set covering common feedback areas
- Built-in reporting and analytics dashboard
Where it falls short
- No adaptive AI interview to explore the story behind a rating
- No trade-off style question (e.g., max-diff) to reveal what matters most among program elements
- No voice-based interview option or guided screen-share tasks
Typeform
Post-Program Feedback Form TemplateA general post-program feedback template (not intern-specific) styled with Typeform's conversational one-question-at-a-time format. It offers a pleasant respondent experience but the conversational feel is scripted, not adaptive to answers. Would need customization to fit internship-specific topics like mentorship or full-time conversion.
What it does well
- Polished, conversational question-by-question UI
- Easy to adapt generic template to different post-program contexts
- Visually engaging design out of the box
Where it falls short
- Not purpose-built for internship programs, so lacks intern-specific questions like mentorship check-ins or conversion likelihood
- No AI-driven follow-up interview or voice interview option
- No automated quality scoring of open responses
Frequently asked questions
What questions are in the “Intern Feedback and Program Effectiveness Survey” template?
The template includes 11 ready-to-use questions, starting with: “Hi! Thanks for taking a few minutes to share honest feedback on your internship. Your responses are completely confident…” · “Overall, how would you rate your internship experience?” · “How much do you agree with each statement about your internship?”. The full set is previewed above, and every question is editable.
How long does this survey take to complete?
Respondents typically finish the 11 questions in about 6 minutes.
Can I customize this template?
Yes — every question, answer option, and the ordering is editable before you launch. You can add or remove questions, or ask the AI editor to rework the survey around your research goal.
Is this template free to use?
Yes. Open it in the editor and start customizing right away — no account required to try it, and the free plan covers launching your survey.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies from the same category.
Employee & HR
Workplace Diversity, Equity & Inclusion Climate Survey
Measures how included, respected, and fairly treated employees feel day-to-day — covering belonging, fairness in advancement, exposure to exclusionary behavior, and which DEI investments matter most. An AI follow-up interview turns the lowest-scoring signals into concrete, specific stories HR can act on. For HR and DEI teams running an annual or pulse climate check, about 8 minutes.
View templateEmployee & HR
Employee Award Nomination Form
Captures a well-rounded nomination for an employee recognition award, combining structured ratings against your award criteria with an AI follow-up that pulls out the concrete story behind the nomination. Built for HR teams and award committees running quarterly or annual recognition programs who need comparable, story-rich nominations instead of vague praise.
View templateEmployee & HR
Employee Disciplinary Action Process Feedback Survey
Gathers confidential feedback from employees who recently went through a disciplinary action, measuring how clearly the reason was explained, how fair and consistent the process felt, and trust in the manager or HR handling it. An AI follow-up interview reconstructs what actually happened in the meeting rather than just the rating given. For HR and People teams auditing process quality and consistency.
View templateEmployee & HR
Employee Complaint Intake and Follow-Up Survey
A confidential intake form for employees to document a workplace complaint or concern, capturing what happened, who's involved, severity, and desired resolution. An AI follow-up interview gently reconstructs the specific timeline and details so HR gets an actionable, well-documented account instead of a vague summary.
View templateEmployee & HR
Workplace Safety Climate and Incident Reporting Survey
Measures how safe employees feel day-to-day, how strong your safety culture and reporting habits actually are, and what stops people from speaking up — with an AI follow-up that reconstructs a real near-miss or incident and what would change how it's handled next time.
View templateEmployee & HR
Return-to-Office Transition Experience Survey
Measures how employees are experiencing the shift back to in-person work — attendance patterns, productivity and wellbeing impact, and retention risk — with an AI follow-up that digs into the specific friction points behind low satisfaction or flight-risk scores instead of generic complaints.
View template