Tracing Sampling Strategies Survey Template (OpenTelemetry) - Survey Template | QuestionPunk
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Tracing Sampling Strategies Survey Template (OpenTelemetry)

Launch this developer survey to benchmark distributed tracing sampling: adoption, usage, and trade-offs. Includes head vs tail, rates, OpenTelemetry for APM.

What's Included

AI-Powered Questions

Intelligent follow-up questions based on responses

Automated Analysis

Real-time sentiment and insight detection

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Detailed Reports

Comprehensive insights and recommendations

Sample Survey Items

Q1
multiple choice
Which tracing/observability tools have you used in the last 6 months? Select all that apply.
  • OpenTelemetry
  • Jaeger
  • Zipkin
  • Honeycomb
  • Datadog
  • New Relic
  • AWS X-Ray
  • Grafana Tempo
  • Elastic APM
  • Other
Q2
opinion scale
How familiar are you with tracing sampling concepts?
Q3
multiple choice
Attention check: To confirm you’re reading the questions, please select “I am paying attention.”
  • I am paying attention
  • I am not paying attention
  • Prefer not to say
Q4
multiple choice
Which sampling approaches have you implemented or configured in the last 6 months? Select all that apply.
  • Always on (head, 100%)
  • Head probabilistic (trace-level rate)
  • Rate-limited sampling
  • Tail-based sampling
  • Adaptive/dynamic sampling
  • Per-endpoint or attribute-based rules
  • I'm not sure / None
Q5
multiple choice
If you use tail-based sampling, what most often triggers retaining a trace? Select the primary trigger.
  • Error status codes
  • High latency percentiles (e.g., p95/p99)
  • Specific endpoints or attributes
  • Adaptive scoring from backend
  • Business events or SLO breaches
Q6
multiple choice
If you do not use tail-based sampling, what are the main reasons? Select all that apply.
  • Implementation complexity
  • Infrastructure/resource constraints
  • Cost concerns
  • Data protection/compliance constraints
  • Not needed for our use cases
  • Lack of expertise or guidance
  • Tooling/vendor limitations
Q7
numeric
At peak hours, approximately how many spans per minute does your system generate?
Q8
constant sum
Allocate 100 points across the objectives below to reflect their relative importance.
Q9
matrix
Indicate your agreement with these statements about sampling in your environment.
Q10
ranking
Rank the signals you most want sampling to capture reliably (1 = highest priority).
Q11
multiple choice
Scenario: A consumer API averages 10k RPS with traffic spikes and a strict budget. Which baseline strategy would you start with?
  • Head probabilistic at a low fixed rate (e.g., 0.1–1%)
  • Rate-limited head sampling with per-service quotas
  • Tail-based triggers (errors/high latency) with a minimal baseline
  • Always on (100%) to maximize coverage
  • There isn’t enough information to decide
Q12
long text
Briefly explain your choice for the scenario above.
Max 600 chars
Q13
dropdown
Where are sampling decisions primarily enforced today?
Q14
rating
How likely are you to adjust your sampling strategy in the next 3 months?
Q15
dropdown
What is your primary role?
Q16
dropdown
How many years have you worked with distributed systems?
Q17
dropdown
Approximately how large is your organization?
Q18
dropdown
Which region do you primarily work in?
Q19
long text
Any other feedback or context about your tracing and sampling strategy?
Max 600 chars
Q20
chat message
Welcome! This short survey focuses on tracing sampling strategies over the past 6 months. Please answer based on your current or most recent environment.
Q21
ai interview
AI Interview: 2 Follow-up Questions on your sampling decisions
AI Interview
Q22
chat message
Thank you for participating—your responses are greatly appreciated!

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