Q01
Message
All templates
Traditional TV & Newspaper Usage Habits Survey
Measures how often people watch TV news and read newspapers, which formats and sources they trust most, and what factors drive their choice of news media — with an AI follow-up that uncovers the real story behind rising or falling engagement. Built for media researchers, broadcasters, and publishers tracking audience shifts.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
13 questions · ~7 min
Q02
Multiple ChoiceRequired
In the last 7 days, how many days did you watch TV news (broadcast or cable)?
- 0 days
- 1-2 days
- 3-4 days
- 5-6 days
- Every day (7 days)
Q03
Multiple ChoiceRequired
In the last 7 days, how many days did you read a newspaper, in print or digital form?
- 0 days
- 1-2 days
- 3-4 days
- 5-6 days
- Every day (7 days)
Q04
Multiple ChoiceRequired
Which format do you use most often to read newspaper content?
- Print edition
- Newspaper website
- Newspaper mobile app
- Social media links to articles
- News aggregator app (e.g., Apple News, Google News)
Q05
MatrixRequired
How trustworthy do you find each of the following news sources?
4 rows × 5 columns
- Local TV news broadcasts
- National TV news broadcasts
- Print newspaper articles
- Newspaper website or app articles
Columns: Not at all trustworthy · Slightly trustworthy · Moderately trustworthy · Very trustworthy · Extremely trustworthy
Q06
Best–Worst Trade-off (MaxDiff)Required
When you choose which news source to use, which factors matter most and least to you?
- Convenience of access
- Cost of subscription or access
- Trust in accuracy
- Depth of reporting
- Speed of updates
- Habit or tradition
- Recommendations from friends or family
Pick best & worst per setBest:Matters mostWorst:Matters least
Q07
Multiple ChoiceRequired
Compared to a year ago, has the amount of time you spend reading newspapers or watching TV news changed?
- Increased a lot
- Increased somewhat
- Stayed about the same
- Decreased somewhat
- Decreased a lot
Q08
Opinion ScaleRequired
How likely are you to be watching TV news or reading a newspaper in the same way a year from now?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q09
AI Interview
Probe the story behind the respondent's reported change in TV news or newspaper usage over the past year: what specific event, habit, or alternative source triggered the increase or decrease, and what would need to happen for the opposite to occur. If usage stayed the same, explore what keeps the habit stable and whether they've ever considered switching.
Q10
Multiple Choice
What is your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Q11
Multiple Choice
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q12
Multiple Choice
What is the highest level of education you have completed?
- High school or less
- Some college
- Bachelor's degree
- Graduate degree
- Prefer not to say
Q13
Message
Thanks so much for sharing your news habits with us! Your responses will help us understand how TV and newspaper audiences are evolving, with the AI follow-up adding the nuance behind the trends.
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 frequency tracking with an AI follow-up interview that probes the real story behind rising or falling TV/newspaper engagement, not just a static number.
- Combines behavioral questions (days watched/read, format preferences) with a trust matrix and a MaxDiff exercise on source-choice factors, giving richer data than simple frequency counts.
- Includes a year-over-year change question plus a future-likelihood opinion scale, letting researchers quantify both trajectory and expectation of continued habit shifts.
- Ends with demographic questions (age, gender, education) for segmentation, and every AI probe prompt is transparent and reviewable, unlike opaque or fixed-question templates.
QuestionPro
TV newspaper usage survey questions + Sample questionnaire templateThis is a directly comparable, fielding-ready template covering TV and newspaper usage habits. It's a solid static questionnaire for benchmarking frequency and format preferences, but it relies on fixed multiple-choice items rather than any adaptive follow-up. QuestionPro's broader platform pricing is aimed at general survey research, not specifically media researchers.
What it does well
- Purpose-built sample questionnaire specifically for TV and newspaper usage, so questions are topically relevant out of the box
- Backed by an established, full-featured survey platform with broad distribution and analytics tooling
- Likely offers standard question types (multiple choice, rating scales) sufficient for basic frequency benchmarking
Where it falls short
- No adaptive AI follow-up questioning — respondents can't be probed further on why their habits changed, only what changed
- No indication of automated per-response quality scoring or auto-generated qualitative reports summarizing open-ended context
- No transparent, reviewable AI prompt methodology since the template is a fixed question set, not an AI-driven interview
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.