Q01
Message
All templates
Laboratory Technician Competency Self-Assessment
Evaluates lab staff's confidence and proficiency across core bench skills, SOP adherence, and equipment troubleshooting, with an AI follow-up that reconstructs a specific recent error or near-miss to surface real training gaps behind the self-ratings. Built for lab managers and QA leads running periodic competency reviews.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
13 questions · ~7 min
Q02
Multiple ChoiceRequired
Which best describes your primary role in the laboratory?
- Bench technician / analyst
- Laboratory supervisor
- Quality assurance / QC specialist
- Laboratory manager
- Trainee / new hire
Q03
MatrixRequired
How confident are you performing each of the following tasks without supervision?
7 rows × 4 columns
- Preparing and labeling samples correctly
- Operating and calibrating primary instruments
- Interpreting quality control results
- Following documented procedures exactly as written
- Recognizing and reporting non-conforming or out-of-range results
- +2 more
Columns: Not confident · Somewhat confident · Confident · Very confident
Q04
Multiple ChoiceRequired
In the last 3 months, how many times have you caught an error before it affected a result (a 'near-miss')?
- Never
- Once
- 2-3 times
- 4 or more times
Q05
Opinion ScaleRequired
How confident are you in your ability to troubleshoot an unexpected instrument malfunction without asking a supervisor for help?
Scale: 1 – 7
Min:Not at all confidentMax:Extremely confident
Q06
Best–Worst Trade-off (MaxDiff)Required
Which of these areas would benefit most from additional hands-on training for you right now?
- Sample handling and chain of custody
- Instrument calibration and maintenance
- Data documentation and traceability
- Safety and PPE protocols
- Interpreting quality control trends
- Method validation procedures
- Emergency and spill response
- Regulatory or accreditation updates
Pick best & worst per setBest:Most needs additional trainingWorst:Least needs additional training
Q07
Multiple ChoiceRequired
When did you last complete formal competency training or certification for your current role?
- Within the last 6 months
- 6-12 months ago
- 1-2 years ago
- More than 2 years ago
- Never / not applicable
Q08
AI Interview
Ask the respondent to walk through the most recent time they caught an error, made a mistake, or felt unsure while performing a lab procedure — what the task was, what went wrong or felt uncertain, and how it was resolved. Anchor on whichever task they rated least confident in the earlier task list, and probe whether the gap was knowledge, training, equipment, or time pressure. If they report no errors or near-misses, ask them to describe the task they'd be least comfortable doing if their supervisor were unavailable.
Q09
Rating ScaleRequired
Overall, how would you rate your readiness to perform your current lab duties independently?
Range: 1 – 5
Min:Not readyMax:Fully ready
Q10
Long Text
What is one skill or procedure you wish you had more hands-on practice with?
Q11
Multiple Choice
How many years have you worked in a laboratory setting (any employer)?
- Less than 1 year
- 1-3 years
- 4-9 years
- 10+ years
- Prefer not to say
Q12
Multiple Choice
What is your highest relevant certification or credential?
- None yet
- In-house certification only
- Technical/vocational certificate
- Bachelor's degree in a relevant field
- Advanced degree or professional license
- Prefer not to say
Q13
Message
That's everything — thank you! Your responses feed into a training and competency review so your lab can target support where it's actually needed.
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 static self-ratings with an AI follow-up interview that asks the respondent to reconstruct a specific recent error or near-miss, surfacing real training gaps behind the numbers
- Combines a skills confidence matrix, error-frequency and training-recency questions, and a MaxDiff prioritization of training needs in one flow, so managers get both breadth and depth
- Ends in an auto-generated report designed for training and competency documentation, reducing manual write-up for QA leads running periodic reviews
- Uses transparent, viewable prompts for the follow-up interview, so managers can audit exactly what was asked rather than trusting a black-box scoring engine
Jotform
Laboratory Competency Assessment Form TemplateA ready-to-field static form template covering core lab competency areas, built on Jotform's drag-and-drop form builder. It's easy to customize and deploy quickly but relies entirely on fixed questions and self-reported ratings with no adaptive probing. Good for a quick paper-to-digital competency checklist rather than a deeper diagnostic tool.
What it does well
- Quick to customize and deploy via Jotform's widely-used drag-and-drop builder
- Likely integrates with Jotform's broader form ecosystem (e.g., PDF export, notifications)
Where it falls short
- Static question set with no adaptive follow-up to probe inconsistent or low self-ratings
- No mechanism to reconstruct specific incidents like errors or near-misses behind a rating
- No published methodology for how responses are scored or interpreted
SurveySparrow
Laboratory Competency Assessment Form TemplateA conversational-style form template for assessing lab competency, positioned under SurveySparrow's healthcare template category. It benefits from a chat-like respondent experience, but the conversational tone is scripted rather than adaptive, so it still functions as a fixed-question survey. No AI-driven follow-up or automated scoring of open responses is indicated.
What it does well
- Conversational, chat-style UI likely improves completion rates versus a traditional grid form
- Positioned specifically for healthcare/lab contexts rather than generic self-assessment
Where it falls short
- Conversational format is pre-scripted, not adaptive — it can't dynamically follow up on a specific error a respondent mentions
- No automated per-response quality scoring evident, unlike an AI-scored competency check
- No transparent, inspectable prompt logic for any probing questions
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.