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U.S. Government Support Program Experience Survey

Captures how people applying for or using U.S. government support programs (unemployment, SNAP, Medicaid, housing assistance, etc.) actually experience the process — from applying to getting help when something goes wrong. An AI follow-up interview digs into the specific moment that made the process feel easy or frustrating, giving program teams concrete friction points instead of vague satisfaction scores.

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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

Thanks for taking a few minutes to share your experience with a government support program. There are no right or wrong answers — we just want to understand what actually happened. This takes about 5 minutes.

Q02
Multiple ChoiceRequired

Which of the following government support programs have you personally applied for or used in the last 12 months?

  • Unemployment insurance
  • SNAP / food assistance
  • Medicaid or other health coverage assistance
  • Housing or rental assistance
  • Disability benefits
  • Social Security or retirement benefits
  • Small business or economic relief assistance
  • Other
Q03
Multiple ChoiceRequired

Thinking about the program you used most recently, how did you primarily apply or interact with it?

  • Online portal or website
  • Phone call with a representative
  • In-person at an office
  • Mail-in paper application
  • Through a caseworker or community organization
Q04
Opinion ScaleRequired

Overall, how easy or difficult was it to apply for and get set up on that program?

Scale: 1 – 7
Min:Extremely difficultMax:Extremely easy
Q05
Rating ScaleRequired

How would you rate your interactions with staff or representatives during this process?

Range: 1 – 5
Min:Very poorMax:Excellent
Q06
MatrixRequired

How much do you agree with each statement about your experience with this program?

6 rows × 5 columns
  • Instructions and eligibility rules were easy to understand
  • I knew what documents or information I needed upfront
  • I was able to track the status of my application or case
  • Wait times for a decision or response were reasonable
  • I received updates without having to chase them down
  • +1 more
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q07
Opinion ScaleRequired

How confident are you that this program would treat your case fairly if something went wrong or you needed to appeal a decision?

Scale: 0 – 10
Min:Not at all confidentMax:Extremely confident
Q08
Ranking

Rank these areas from most in need of improvement to least, based on your own experience.

  1. Clarity of eligibility rules and required documents
  2. Speed of decisions and processing times
  3. Ease of the online application or portal
  4. Communication and status updates
  5. Staff knowledge and helpfulness
  6. Ease of resolving errors or appeals
Drag to rank
Q09
AI Interview

Reconstruct one specific moment from the respondent's most recent interaction with this program — what happened, what they expected, and how staff or the system responded. If they rated the process as difficult or gave low confidence in fair treatment, probe concretely what went wrong and what would have fixed it. If it was easy, probe what specifically made it feel effortless so it can be replicated elsewhere.

Q10
Long Text

Is there anything this program could have done differently that would have made a real difference for you?

Q11
Multiple Choice

Which age group do you fall into?

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

Which of these best describes your annual household income?

  • Under $25,000
  • $25,000-$49,999
  • $50,000-$74,999
  • $75,000-$99,999
  • $100,000 or more
  • Prefer not to say
Q13
Message

Thank you for sharing your experience. Your responses will be used, alongside others', to identify where government support programs can be made clearer, faster, and easier to navigate.

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

  • Includes an AI follow-up interview that reconstructs one specific moment from the respondent's most recent interaction with the program, surfacing concrete friction points instead of a generic satisfaction score
  • Combines structured measures (opinion scale on ease of applying, staff-interaction rating, agreement matrix, fairness-confidence scale, and a ranking of improvement areas) with open-ended probing for a fuller picture
  • Captures which programs respondents have applied for and how they applied, plus demographic context (age, household income) to segment friction points by group
  • Closes with a long-text question asking what could have been done differently, giving program teams direct, actionable respondent language rather than just scores

SurveyMonkey

USA Government Support Programs Survey Template & Sample Questions

This is a directly comparable, purpose-built template for surveying experiences with U.S. government support programs. It's a standard static survey form with fixed sample questions rather than an adaptive interview, so it's ready to field as-is but limited to whatever questions are pre-set or manually edited. No mention of AI-driven follow-up or per-response scoring.

What it does well

  • Purpose-built specifically for U.S. government support program experience surveys, same topic focus as our template
  • Backed by SurveyMonkey's large template library and established survey distribution/analysis tooling
  • Likely offers customizable sample questions and standard reporting/charting on responses

Where it falls short

  • Static question set with no adaptive AI follow-up to probe the specific moment behind a rating
  • No automated per-response quality scoring to flag low-effort or low-quality answers
  • No transparent, inspectable prompt/methodology behind how deeper insights are generated, since it's a fixed-question form

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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