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Social Networking Platform Engagement & Satisfaction Survey

Measures how people actually use a social networking platform — frequency, trust, feature value, time allocation, and loyalty via a recommendation score. Built for product, growth, and trust & safety teams at social platforms and community apps. The AI follow-up interview digs into the specific moment behind each promoter or detractor score instead of generic praise or complaints.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

13 questions · ~7 min
Q01
Message

Hi! We're trying to understand how people really use social networking platforms day to day — there are no wrong answers here. This will take about 5 minutes and helps us build features people actually want.

Q02
Multiple ChoiceRequired

In the last 30 days, how often have you opened this platform?

  • Daily
  • A few times a week
  • About once a week
  • Less than once a week
  • Not at all in the last 30 days
Q03
Opinion ScaleRequired

Overall, how satisfied have you been with your experience on this platform recently?

Scale: 1 – 7
Min:Very dissatisfiedMax:Very satisfied
Q04
MatrixRequired

How much do you agree with each statement about this platform?

5 rows × 5 columns
  • I feel a genuine sense of community here
  • The content I see feels relevant to my interests
  • I trust how my data and privacy are handled
  • It's easy to find and connect with people I care about
  • Ads and sponsored content feel intrusive
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
Best–Worst Trade-off (MaxDiff)Required

For each set, which feature is most valuable to you and which matters least?

  • Direct messaging
  • Stories or disappearing posts
  • Groups or communities
  • Short-form video
  • Live streaming
  • Marketplace / buying and selling
  • Personalized feed algorithm
  • Privacy and safety controls
Pick best & worst per setBest:Most valuable to meWorst:Least valuable to me
Q06
Point AllocationRequired

Thinking about a typical week on this platform, how do you split your time across these activities? (Should add up to 100)

  • Scrolling through your feed
  • Messaging or chatting with people
  • Posting your own content
  • Watching video content
  • Participating in groups or communities
  • Browsing marketplace or shopping
Allocate 100 points
Q07
Opinion ScaleRequired

How likely are you to recommend this platform to a friend or colleague?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q08
AI Interview

Probe the reasoning behind the respondent's recommendation score, anchoring on one specific recent moment on the platform rather than general opinions. If the score is low (0-6), find out what happened, what would need to change for them to raise it, and whether it's a one-off or a pattern. If the score is high (9-10), find out what specific feature or interaction drives that loyalty. If they flagged intrusive ads or a negative experience earlier, connect that to whether it affected this score.

Q09
Multiple Choice

In the last 30 days, have you experienced any of the following on this platform?

  • Spam or fake accounts
  • Harassment or bullying
  • Misinformation or misleading content
  • Content that made me uncomfortable
Q10
Multiple Choice

What's the main reason you keep using this platform?

  • Staying in touch with friends and family
  • Discovering new content or interests
  • Professional networking
  • Entertainment or passing time
  • Building or promoting a business or brand
Q11
Dropdown

What's your age range?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q12
Multiple Choice

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q13
Message

Thanks so much for sharing your experience! Your answers feed directly into product and trust & safety decisions, and no individual response is ever shared publicly.

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 a satisfaction score by pairing an opinion-scale recommendation question with an AI follow-up interview that probes the specific moment behind each promoter or detractor rating, instead of stopping at the number
  • Uses a max-diff exercise and a constant-sum time allocation question to force real trade-offs between features and time, giving product and growth teams prioritization data static rating grids can't produce
  • Includes a dedicated incidents question (things experienced in the last 30 days) alongside a matrix of agreement statements, useful for trust & safety teams tracking harm alongside satisfaction
  • Every response is scored for quality automatically and prompts used in the AI interview are transparent, so researchers can audit exactly what was asked and why before trusting the auto-generated report

QuestionPro

Social Networking Survey Questions + Sample Questionnaire Template

A genuinely comparable template covering social networking usage and satisfaction topics, presented as a sample questionnaire with pre-written questions researchers can adapt. It reads as a static question bank/reference rather than an interactive fielding tool with built-in analysis. Good starting point for question wording, but leaves scoring and follow-up analysis to the researcher.

What it does well

  • Purpose-built around social networking usage/satisfaction topics, matching the survey's subject matter
  • Provided as a ready reference questionnaire, useful for benchmarking standard question phrasing
  • Backed by an established survey platform with broad question-type support

Where it falls short

  • No adaptive follow-up questioning — every respondent sees the same fixed question list regardless of their answer
  • No mechanism to probe the specific reasoning behind a recommendation score; likely relies on the number alone
  • No published methodology or prompt transparency since there's no AI-driven questioning layer

SurveyMonkey

Social Media Survey Template

A directly relevant, ready-to-field template for measuring social media usage and satisfaction, built on a mainstream survey platform with solid distribution and reporting tools. It's a fixed-question template, so it doesn't adapt based on how a respondent answers. Reporting is standard aggregate dashboards rather than per-response qualitative follow-up.

What it does well

  • Ready-to-deploy template on a widely used, established survey platform
  • Likely includes standard analytics dashboards and benchmarking against other SurveyMonkey users
  • Simple to launch quickly for teams already using SurveyMonkey

Where it falls short

  • Static question set with no adaptive AI interview to dig into the reasoning behind a rating
  • No per-response automated quality scoring to flag low-effort or inconsistent answers
  • No option for voice-based interviews or guided screen-share tasks to observe actual feature use

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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