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Home Electronics Purchase Decision Survey

Explores how shoppers research, compare, and ultimately choose home electronics — from TVs and laptops to smart appliances — including which factors actually tip the decision, price sensitivity, and satisfaction after the sale. An AI follow-up interview reconstructs the real decision moment instead of just the stated reasons, giving product and marketing teams a clearer read on what to fix or promote.

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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 sharing your recent electronics shopping experience! Your responses are completely confidential and anonymized. This takes about 5 minutes and helps us understand how people actually decide what to buy.

Q02
Multiple ChoiceRequired

Which type of home electronics did you purchase most recently (in the last 6 months)?

  • TV
  • Laptop or computer
  • Smartphone or tablet
  • Major kitchen appliance
  • Smart home device (speaker, camera, thermostat, etc.)
  • Audio equipment (headphones, speakers, soundbar)
  • Other home electronics
Q03
Multiple ChoiceRequired

Where did you make this purchase?

  • Manufacturer's website
  • Large online marketplace (e.g., Amazon)
  • Big-box electronics or department store
  • Warehouse club (e.g., Costco)
  • Local independent retailer
  • Other
Q04
Best–Worst Trade-off (MaxDiff)Required

For each set, pick the factor that mattered most and the one that mattered least in your decision.

  • Price
  • Brand reputation
  • Online reviews and ratings
  • Warranty or return policy
  • Energy efficiency or running cost
  • Design or appearance
  • Technical specs or performance
  • Availability of financing or installment plans
Pick best & worst per setBest:Mattered mostWorst:Mattered least
Q05
Price Sensitivity (Van Westendorp)Required

Thinking about that same product category (Template note: replace with the specific category, e.g., '55-inch 4K TVs', before launching):

  • At what price would you feel this product is so cheap you'd question its quality?
  • At what price would you consider this product a bargain — a great buy for the money?
  • At what price would you consider this product starting to get expensive, but you'd still consider buying it?
  • At what price would you consider this product too expensive to consider buying?
Q06
MatrixRequired

How influential was each source in your final decision?

6 rows × 5 columns
  • Online customer reviews and star ratings
  • In-store salesperson advice
  • Recommendations from friends or family
  • Brand or retailer website content
  • Video reviews or unboxings (e.g., YouTube)
  • +1 more
Columns: Not at all influential · Slightly influential · Somewhat influential · Very influential · Extremely influential
Q07
Opinion ScaleRequired

Overall, how satisfied are you with this purchase now that you've had it?

Scale: 1 – 7
Min:Very dissatisfiedMax:Very satisfied
Q08
Rating Scale

How likely are you to purchase from that same retailer again for your next electronics purchase?

Range: 1 – 5
Min:Not at all likelyMax:Extremely likely
Q09
AI Interview

Reconstruct the moment this respondent decided to buy: what almost made them choose a different product or retailer, and what specifically tipped the balance. Anchor on whichever factor they ranked most important in the trade-off exercise and ask for a concrete example of it in action. If their satisfaction rating was low, probe what went wrong after purchase and whether it changed how they'll shop next time.

Q10
Short Text

Was there anything that almost stopped you from buying at all? If so, what?

Q11
Multiple Choice

What is your age range?

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

What is your annual household income?

  • Under $30,000
  • $30,000-$59,999
  • $60,000-$99,999
  • $100,000-$149,999
  • $150,000 or more
  • Prefer not to say
Q13
Message

That's everything — thank you! Your responses will help shape how electronics are marketed, priced, and sold to shoppers like you.

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

  • Uses an AI follow-up interview to reconstruct the actual decision moment — what almost made the shopper choose a competitor — rather than relying only on stated reasons
  • Includes a MaxDiff exercise to rank which factors truly mattered most and least, paired with a Van Westendorp price sensitivity set for the specific product category
  • Combines a matrix rating of influence sources, satisfaction and retailer-loyalty scales, and a short-text probe on near-abandonment moments for a fuller picture of the purchase journey
  • Automated per-response quality scoring and an auto-generated report mean product and marketing teams get analysis-ready output, not just raw responses

QuestionPro

Home Electronics Purchase Survey Template

A directly comparable, fielding-ready template covering home electronics purchase behavior on an established survey platform. It likely covers similar ground — product type, purchase channel, satisfaction — using standard question formats. As a static form, it won't adapt follow-up questions based on an individual's prior answers.

What it does well

  • Purpose-built template specifically for home electronics purchases, so no reconfiguration needed to start fielding
  • Backed by QuestionPro's mature survey infrastructure and distribution/panel options
  • Likely includes standard demographic and satisfaction questions common to purchase-decision research

Where it falls short

  • No adaptive AI-driven follow-up interview to probe individual responses in more depth
  • No voice AI interview option or guided screen-share tasks for richer qualitative capture
  • No published transparent prompt methodology or automated per-response quality scoring

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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