Measures developer familiarity, adoption stage, blockers, and rollout priorities for OpenTelemetry across engineering teams to inform instrumentation strategy and resource planning.
What's Included
AI-Powered Questions
Intelligent follow-up questions based on responses
Automated Analysis
Real-time sentiment and insight detection
Smart Distribution
Target the right audience automatically
Detailed Reports
Comprehensive insights and recommendations
Template Overview
20
Questions
AI-Powered
Smart Analysis
Ready-to-Use
Launch in Minutes
This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.
Sample Survey Items
Q1
Chat Message
Welcome to the OpenTelemetry Adoption & Readiness Survey.
This survey takes approximately 6–8 minutes and covers your experience with observability tooling and OpenTelemetry. Your responses are completely anonymous and will be reported only in aggregate to inform tooling and adoption strategy.
There are no right or wrong answers — we are interested in your honest experience. Participation is voluntary, and you may stop at any time.
Q2
Multiple Choice
Which best describes your primary role?
Backend developer
Frontend developer
Full-stack developer
Site Reliability Engineer / DevOps
Data/ML engineer
QA/Testing engineer
Software architect / Tech lead
Platform engineer
Other (please specify)
Q3
Dropdown
What is your primary programming language for services you work on today?
Java
JavaScript/TypeScript
Python
Go
C#/.NET
C/C++
Ruby
PHP
Rust
Other (please specify)
Prefer not to say
Q4
Multiple Choice
Where do your production workloads run today? (Select all that apply.)
Kubernetes
Serverless (e.g., AWS Lambda, Azure Functions)
Containers without an orchestrator
Virtual machines (VMs)
Bare metal
PaaS (e.g., Heroku, App Engine)
On-premises data center
Hybrid or multi-cloud
Q5
Multiple Choice
Which observability tools have you used in the last 6 months? (Select all that apply.)
Prometheus
Grafana
Jaeger
OpenTelemetry SDK
OpenTelemetry Collector
Elastic APM
Datadog
New Relic
Splunk Observability
AWS X-Ray
Azure Monitor
Google Cloud Operations Suite
None of the above
Other (please specify)
Q6
Opinion Scale
How familiar are you with OpenTelemetry concepts and components?
Range: 1 – 5
Min: Not at all familiarMid: NeutralMax: Extremely familiar
Q7
Multiple Choice
Which OpenTelemetry components or capabilities are you using today, if any? (Select all that apply.)
OTel SDKs (language libraries)
OTel Collector (any deployment)
OTLP export protocol
Auto-instrumentation
Manual instrumentation
Semantic conventions
Sampling configuration (e.g., tail-based)
Not using OTel yet
Q8
Multiple Choice
Which best describes your organization's current OpenTelemetry adoption stage?
Not considering
Evaluating
Piloting in one or a few services
In limited production
Broad production across services
Q9
Dropdown
Approximately what percentage of your production services are currently instrumented with OpenTelemetry?
0%
1–10%
11–25%
26–50%
51–75%
76–99%
100%
Not sure
Q10
Ranking
Rank the following outcomes by how important they are to your organization's OpenTelemetry goals (most important first).
Drag to order (top = most important)
Faster incident detection and response
Better root-cause analysis
Cross-service traceability
Standardized telemetry across teams
Vendor portability / avoiding lock-in
Cost control and optimization
Improved application performance
Security/compliance visibility
Q11
Multiple Choice
What are the biggest blockers to adopting or expanding OpenTelemetry in your organization? (Select up to 5.)
Limited time or competing priorities
Unclear ROI / benefits
Learning curve or lack of expertise
Language or framework gaps
Lack of organizational buy-in
Tooling or integration maturity
Data volume or storage cost concerns
Performance overhead concerns
Security/PII/governance concerns
We're satisfied with current vendor tooling
No need identified yet
Other (please specify)
Q12
Multiple Choice
Which of the following support resources would be most helpful for your OpenTelemetry adoption? (Select up to 3.)
Official documentation improvements
Language-specific getting-started guides
Reference architectures and deployment patterns
Hands-on workshops or training sessions
Internal champions / OTel working group
Vendor-neutral migration tooling
Community forums or Slack channels
Consulting or professional services
Other (please specify)
Q13
Multiple Choice
Which areas are your next targets for OpenTelemetry instrumentation in the next 6 months? (Select all that apply.)
Java services
Node.js services
Python services
Go services
.NET services
Mobile apps (iOS/Android)
Browser RUM
Databases
Message brokers/streaming (e.g., Kafka)
Serverless functions
Batch/ETL workloads
Other (please specify)
Q14
Opinion Scale
How likely is your team or organization to adopt or expand OpenTelemetry usage in the next 6 months?
Range: 1 – 7
Min: Very unlikelyMid: NeutralMax: Very likely
Q15
AI Interview
We'd like to understand more about your experience with observability and OpenTelemetry. An AI moderator will ask a few brief follow-up questions based on your earlier responses.
AI InterviewLength: 3Personality: [Object Object]Mode: Fast
Reference questions: 6
Q16
Long Text
Based on your responses in this survey, if you could change one thing about OpenTelemetry or its ecosystem, what would it be?
Max chars
Q17
Multiple Choice
How many years of professional software development experience do you have?
0–1
2–4
5–9
10–14
15+
Prefer not to say
Q18
Dropdown
Where are you primarily based?
North America
Europe
Asia-Pacific
Latin America
Middle East
Africa
Other (please specify)
Prefer not to say
Q19
Dropdown
Approximately how many employees are in your organization?
1–10
11–50
51–200
201–1,000
1,001–5,000
5,001–10,000
10,001+
Prefer not to say
Q20
Chat Message
Thank you for completing this survey! Your responses are anonymous and will be used in aggregate to identify adoption patterns and prioritize improvements to the OpenTelemetry ecosystem.
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