Automotive topics are one of the most popular for research: from preferences when buying a car to opinions about new technologies in the auto industry. But spend qualitative survey this topic is more complicated than it seems. Respondents often ignore questionnaires due to complex wording, questions that are too long, or a lack of personal benefit. And the results may turn out to be useless if you do not take into account the specifics of the target audience - from new drivers to professional mechanics.
In this article we will look at 10 Key Stages creating a survey on automotive topics: from defining the goal to processing the data. You'll learn how to phrase questions to get honest answers, what tools to use to gather information, and how to avoid common mistakes that ruin statistics. We will pay special attention psychological nuances: why car owners often lie in their answers about mileage or repair costs, and how to get around it.
1. Determine the purpose of the survey: why do you need answers from car owners?
Without a clear purpose, a survey becomes a meaningless collection of data. Before you write questions, ask yourself:
- 📌 What problem do you decide? (Example: “Why do customers refuse suspension diagnostics?”)
- 🎯 Who is your target audience? (Beginners, owners of premium cars, truckers, tuning enthusiasts)
- 📊 How will you use the results?? (For marketing strategy, service improvement, scientific work)
For example, if you are the owner of a car service and want to understand why customers choose competitors, questions should focus on prices, quality of service and ease of registration. And if you are a blogger and are planning a series of articles about winter tires, the emphasis will shift to brand preferences, operating experience and customer budget.
Newbie mistake: Try to cover all topics in one survey. For example, ask about the choice of oil, and about preferences in body color, and about attitudes towards electric vehicles. As a result, the answers will be superficial and the analysis will be useless.
2. Choosing a survey format: online, offline or hybrid?
Not only the convenience of respondents, but also data quality. Let's look at the pros and cons of each option:
| Format | Benefits | Disadvantages | When to use |
|---|---|---|---|
| Online (Google Forms, Typeform, Yandex.Forms) | ✅ Fast data collection ✅ Automatic processing ✅ Geographical coverage |
❌ Low % of responses ❌ Risk of "bots" ❌ Difficult to control honesty |
For mass surveys, research in social networks |
| Offline (questionnaires in car services, at exhibitions) | ✅ High % of responses ✅ Possibility of clarifying questions ✅ Control over respondents |
❌ Printing and logistics costs ❌ Limited audience ❌ Manual data processing |
For local research, surveys of service clients |
| Hybrid (online + offline) | ✅ Combination of the advantages of both formats ✅ Data verification |
❌ Complex organization ❌ High cost |
For complex research with a budget |
Particularly effective for automotive themes hybrid polls. For example, you can distribute QR codes with a link to an online form to car service customers or members of car owner clubs. This way you combine the high engagement of your offline audience with the convenience of digital data collection.
If you conduct a survey at a car service center, offer respondents a small bonus: a discount on the next service or a free car wash. This increases responses by 30-40%.
3. We make up questions: how to avoid pitfalls?
Car theme is full pitfalls in the wording. Respondents may knowingly or unknowingly misrepresent information. Classic examples:
- 🚗 "What's the mileage on your car?" → Many people underestimate the figures, especially if the car is for sale.
- 💰 “How much do you spend on renovations per year?” → People often round up amounts or forget little things.
- 🔧 “Do you repair the car yourself?” → Men tend to exaggerate their skills.
To get honest answers, use indirect questions and rating scales:
| Bad question | Good question | Why is it better? |
|---|---|---|
| "Do you often drive at high speeds?" | “How often do you exceed the speed limit by 20+ km/h? ✅ Never ✅ Once a month ✅ Once a week ✅ Every day" |
Being specific reduces the desire to lie |
| "Is your car in good condition?" | “Rate the condition of your car on a scale from 1 to 10, where 1 means urgent repairs, 10 means like new.” | The scale gives nuances, not "yes/no" |
| "Are you satisfied with your car service?" | “What doesn’t suit you about your current car service? (you can select several) ☑ Prices ☑ Quality of work ☑ Politeness of the craftsmen ☑ Waiting time" |
Concrete claims are more useful than abstract assessments |
An example of a bad survey about winter tires
Download a real example of a questionnaire with errors (PDF, 120 Kb)
Professional life hack: For technical questions (eg faults) use visual cues. Instead of "What problems were there with the suspension?" show a diagram with the options: “knock in the front/rear suspension”, “pulling to the side”, “uneven tire wear”.
4. Testing the survey: why is this more important than it seems?
Even a perfectly designed questionnaire can fail due to little things: an inconvenient interface, unclear wording or technical glitches. Pilot testing in a small group (10-15 people) will help identify:
- 🕒 Travel time: If the survey takes more than 5 minutes, the bounce rate will increase.
- 🤔 Unclear questions: What exactly causes difficulties?
- 📱 Technical bugs: Is the form displayed correctly on mobile phones?
For automotive topics, it is especially important to test for different categories of respondents:
- 👨🔧 Professionals (mechanics, engineers) - will check technical accuracy.
- 👩🚗 Beginners (drivers with <3 years of experience) - will appreciate the clarity of the wording.
- 👴 Owners of retro cars - will point out missed nuances (for example, questions about carburetors).
☑️ Checklist for testing the survey
Critical moment: if the survey contains questions about car brands or spare parts models, make sure all answer options are written exactly. For example, Toyota Camry XV70 and Toyota Camry 2021 - these are different things for the respondent!
5. Collecting data: where to find respondents?
The success of a survey depends 80% on audience quality. Free platforms like social networks provide a lot of answers, but often from random people. For automotive themes it is better to use:
| Source of respondents | Pros | Cons | Suitable for |
|---|---|---|---|
| Car clubs and forums (Drive2, AutoMotoClub) | ✅ Target audience ✅ Experts on the topic |
❌ Moderation can delete the survey ❌ Participant bias |
Technical surveys, tuning |
| VK/Telegram publics (Auto news, Behind the Wheel) | ✅ Quick collection of answers ✅ Geographic targeting |
❌ Lots of random people ❌ Low quality of answers |
Mass Research |
| Car services and service stations | ✅ Real clients ✅ Honest answers about expenses |
❌ Limited sample ❌ Organization costs |
Local surveys, service analysis |
| Survey platforms (Toloka, YouGov) | ✅ Filters by demographics ✅ Guaranteed number of answers |
❌ Expensive ❌ Risk of "farms" |
Professional Studies |
For B2B surveys (for example, among fleet owners or dealers) it is more effective to work through personal connections or specialized platforms like AutoDealer. It is important to emphasize here confidentiality and benefit for the respondent (for example, access to the final report).
The highest percentage of honest answers comes from surveys conducted through trusted sources: car clubs, service centers or brand communities (for example, Tesla or UAZ owners).
6. Analyzing the results: how not to drown in data?
Collecting answers is half the battle. The main thing is interpret them correctly. Typical mistakes in analysis:
- 📉 Ignoring emissions (for example, the answer “mileage 1,000,000 km” is clearly incorrect).
- 🔢 Averaging of the non-averaging (average cost of repairs for a group of owners Lada Granta and Mercedes S-Class meaningless).
- 🤷 Neglect open questions (the most valuable insights are often hidden there).
Especially important for automotive topics segment data:
- 🚘 By make/model: owner answers Toyota RAV4 and UAZ Patriot will be fundamentally different.
- 🗺 By region: Road problems in Moscow and Siberia affect tire and suspension preferences.
- 💸 By income: maintenance budget for car owners is up to 1 million and over 3 million rubles. differs by 5-10 times.
Case Study: If you were surveyed about choosing a motor oil, do not limit yourself to the “Which oil is more popular” graph. Break down the data by:
- 🔧 Engine type (gasoline/diesel/hybrid).
- 📅 Age of the car (new/with mileage >100 thousand km).
- 🌡 Climate (northern regions vs south).
Example of a dashboard for survey analysis
Download Excel template for response segmentation (XLSX, 450 KB)
Attention ⚠️ If fewer than 100 people participated in the survey, do not draw global conclusions. For example, the statement "Owners" Kia Rio prefer oil Liqui Moly"based on 20 questionnaires - statistically incorrect.
7. Visualizing the results: how to present the data?
No one will remember dry numbers. Effective for automotive topics:
- 📊 Comparative graphs: for example, "Maintenance costs per year: Lada vs Volkswagen".
- 🗺 Maps: distribution of preferences by region (for example, popularity studded tires).
- 🎥 Infographics:"The evolution of preferences in car colors over 10 years."
Examples of successful visualization:
- 🔋 "Battery life by brand" — a bar chart indicating the average period and percentage of failures.
- 🛠 "The most common breakdowns Renault Duster" — a pie chart highlighting the top 5 problems.
- 💨 "The dynamics of growth in the popularity of electric vehicles" — linear graph by year.
Technical nuance: if you present data for car services or dealers, avoid complex schedules. Better use:
- 📌 Top 3 conclusions on the first slide.
- 📌 Comparison with industry benchmarks (for example, “Your service spends 20% more time on diagnostics than the market average”).
- 📌 Specific recommendations (“60% of customers are unhappy with wait times—consider online booking”).
8. Applying results: from data to action
Polls on automotive topics are often left for show. To avoid this, associate the results with concrete steps:
| Conclusion from the survey | Action for business | Action for blogger/media |
|---|---|---|
| 70% of customers don't know when to change brake pads | ✅ Launch an email newsletter with reminders ✅ Place infographics in the waiting area |
✅ Make a video "5 signs of pad wear" ✅ Write a guide for beginners |
| 40% owners Kia Ceed complain about noise in the cabin | ✅ Conduct a campaign for noise insulation ✅ Train technicians to diagnose this problem |
✅ Comparison test Ceed and noise competitors ✅ Survey of experts about the reasons |
| 65% of respondents are willing to pay 10% more for eco-oils | ✅ Introduce a line of “green” oils ✅ Update price with the mark "eco" |
✅ Interviews with eco-oil producers ✅ Fuel consumption test |
Attention ⚠️ If the survey reveals negative trends (for example, a decline in brand loyalty), do not ignore them. It’s better to honestly admit the problem and show how you solve it. For example: “We heard that 30% of customers are dissatisfied with the speed of service. We are introducing an online queue system in June.”
For bloggers and the media, polls are content for months ahead. One research project can be disclosed in:
- 📝 Series of articles (for example, “Top 10 mistakes when choosing tires according to a survey of 500 drivers”).
- 🎙 Podcasts (interviews with experts based on the survey results).
- 📊 Interactive materials (for example, “Check if you fall into the average owner Hyundai Solar").
Polls on automotive topics have a high viral potential if they are presented as “research with unexpected conclusions.” For example: "Drivers BMW spend less on repairs than owners Lada: let's figure out why."
FAQ: Answers to frequently asked questions about automotive surveys
How to increase the number of responses to a survey?
1. Motivate respondents: Offer discounts, access to exclusive content, or entry into a sweepstakes (for example, "All survey participants have a chance to win a dash cam").
2. Simplify the process: The survey should take no more than 3-5 minutes. Use a progress bar to show how much is left.
3. Share through influencers: Ask car club admins or bloggers to share the survey. Example message: "Friends, we are helping AutoStatus collect data for a large study on tuning trends. Your opinion is important!"
4. Use gamification: For example, at the end of the survey, show the respondent how their answers compare with the group average (“You spend 20% less on maintenance than most owners Ford Focus!").
How to avoid response bias?
1. Eliminate leading questions. Instead of "You agree that Toyota more reliable Renault?" ask: "Rate the reliability of your car on a scale from 1 to 10."
2. Randomize the order of answers, especially if they concern brands. Otherwise, the first option will be chosen more often.
3. Add the option "Difficult to answer" - this will reduce the number of accidental clicks.
4. Check data for anomalies. For example, if in a survey about gasoline costs someone indicated “10,000 rubles/month” for Lada Granta, such an answer should be excluded or double-checked.
Is it possible to conduct surveys about car faults if I am not an expert?
Yes, but with reservations:
1. Consult with technical experts when composing questions. For example, the phrase “transmission problems” is too broad - it’s better to break it down into “jerking when switching”, “noise in the box”, “oil leak”.
2. Use closed-ended multiple-choice questionsto avoid imprecise wording. Example:
What exactly is wrong with your car's suspension?☑ Knock when driving over bumps
☑ Vibration on the steering wheel
☑ Uneven tire wear
☑ Pull to the side
3. Specify the purpose of the survey:"We do not give a diagnosis, but collect statistics for the analyzed problems Volkswagen Polo".
4. For complex topics, hire an expert at the data analysis stage. For example, if the survey is about diesel engine malfunctions, show the results to a diagnostician for interpretation.
What are the best tools to use to create a survey?
The choice of tool depends on your budget and goals:
- 🆓 Free:
- Google Forms — simple interface, integration with Google Sheets.
- Typeform - beautiful design, but limited number of answers.
- Yandex.Forms — convenient for the Russian-speaking audience.
- 💰 Paid (from 500 rub/month):
- SurveyMonkey — advanced analytics, templates for business.
- 1KA (Russian equivalent) - suitable for surveys according to GOST.
- Tilda Forms — if you need a beautiful landing page for a survey.
- 🛠 For technical surveys:
- LimeSurvey — supports complex transition logic.
- Qualtrics - for academic research.
Advice: If the survey involves uploading photos (for example, body defects), use Google Forms or Typeform - they support attaching files.
How often can you conduct surveys with the same audience?
The frequency depends on the topic and format of the interaction:
- 📅 For car service clients: no more than once a quarter. Otherwise it is perceived as spam.
- 👥 For car club members: once every 2 months, but with different topics (for example, in January - about winter tires, in March - about preparing for summer).
- 📱 For social media subscribers: 1 time per month, but in the format of “micro-surveys” (1 question in stories).
Important:
- Always thank for participation and show results of previous surveys (“Last month you helped us research tuning trends—here’s what we learned!”).
- Alternate in-depth polls (10+ questions) with express surveys (1-2 questions).
- If the audience begins to ignore surveys, take a break for 2-3 months or change the format (for example, instead of a form, offer to vote in the comments).