Technicians, rate your shop. Anonymously.
No managers. No HR. Just techs telling the truth about pay, tools, management, and morale.
If no one measures technician conditions, nothing changes.
Your answers create a technician-first benchmark.
Blue-Scholar turns anonymous tech responses into dealership and shop scores:
- How fair pay feels on the floor.
- Whether tools and equipment are actually maintained.
- How managers treat techs compared to advisors and office staff.
- Real morale and stress levels in the shop.
The goal is simple: better shops, better tools, better treatment for technicians.
Three steps, zero risk to you.
- 1. Take the survey. No login, no personal info. Just your honest answers.
- 2. We crunch the data. Responses are grouped by dealership/shop and anonymized.
- 3. We publish scores. Shops get a technician-driven scorecard—not written by marketing.
When enough techs rate the same shop, it becomes impossible to ignore the results.
What we do not collect
- No name.
- No personal email or phone.
- No employee ID numbers.
- No direct identifiers tied to your individual response.
Individual responses are never handed to your manager or HR. Data is used only in anonymous, combined form to create scores and summaries.
What we do collect
- Your dealership/shop name.
- Your role and rough time at the shop.
- Ratings on pay, tools, management, morale, and retention.
- Optional comments about the best and worst parts of working there.
This is the minimum needed to build a real, technician-centered picture of each shop.
Questions technicians usually ask
Can my boss see what I wrote?
No. Managers never see which technician filled out what. They only see combined scores and anonymous comments after enough responses exist.
Do I have to give my name or email?
No. The survey is designed to work without collecting personal contact information.
How long does it take?
Most techs finish in under three minutes. It’s mostly 1–5 rating questions with three optional comment boxes.
What will you do with the results?
We use the data to build technician-first shop and dealership scores, highlight patterns, and push for better conditions, tools, and management practices.