Measures perceived return on investment from logs, metrics, tracing, and monitoring tools across DevOps and SRE teams, identifying high-impact areas for investment and key barriers to value realization.
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AI-Powered Questions
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Template Overview
23
Questions
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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 Observability ROI Assessment.
This survey asks about your experience with logs, metrics, tracing, and related observability tools over the last 3–6 months. It takes approximately 8–10 minutes to complete.
Your participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers—we want your honest opinions. All responses are confidential and will be reported only in aggregate to guide observability investment decisions.
Please click Next to begin.
Q2
Multiple Choice
In the last 3 months, have you actively used any observability tools (e.g., logging, metrics dashboards, tracing, APM) as part of your work?
Yes
No
Q3
Multiple Choice
Which of the following observability signals or tools do you actively use at least once a month? Select all that apply.
Rank your team's current observability objectives from most to least important.
Drag to order (top = most important)
Detect and respond to incidents faster
Reduce mean time to resolution (MTTR)
Improve release confidence and quality
Optimize infrastructure costs and capacity
Understand end-user experience
Q5
Opinion Scale
How would you rate the overall return on investment (ROI) of your organization's observability stack over the last 6 months?
Range: 1 – 7
Min: Very low ROIMid: NeutralMax: Very high ROI
Q6
Ranking
Rank the following observability signals by the ROI they have delivered for your team over the last 6 months (top = highest ROI).
Drag to order (top = most important)
Logs
Metrics
Distributed tracing
APM / dashboards
Alerting and on-call tooling
Q7
Multiple Choice
Which of the following outcomes contribute most to observability ROI for you? Select all that apply.
Fewer production incidents
Faster triage and root-cause identification
Better alert quality (fewer false positives)
Improved developer productivity
Infrastructure cost savings
Reduced operational toil
Fewer customer-facing support tickets
Improved SLA/SLO attainment
Other (please specify)
Q8
Ranking
During incident investigations in the past quarter, rank where you spent the most analysis time (top = most time).
Drag to order (top = most important)
Searching and filtering logs
Querying and interpreting metrics
Tracing request paths across services
Correlating data across multiple tools
Communicating status and findings to stakeholders
Q9
Opinion Scale
In the last 3 months, how often did data gaps or missing context hinder your incident investigations?
Range: 1 – 7
Min: NeverMid: NeutralMax: Very frequently
Q10
Multiple Choice
What are the most significant friction points you experience with your current observability tooling? Select all that apply.
High data ingestion or storage costs
Slow query performance
Lack of correlation across signals (logs, metrics, traces)
Inconsistent naming conventions or tag schemas
Too many low-value alerts
Insufficient trace coverage
Difficult onboarding for new team members
Tool sprawl / too many separate platforms
Other (please specify)
Q11
Opinion Scale
How confident are you in making operational decisions based on the data your observability tools provide?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q12
Ranking
Rank where additional investment would most improve observability ROI (top = highest expected impact).
Drag to order (top = most important)
Expand distributed tracing coverage
Improve log structure, semantics, and search
Define or refine SLIs, SLOs, and alert thresholds
Unify correlation and navigation across signals
Invest in team training, runbooks, and documentation
Q13
Multiple Choice
What are the biggest barriers to realizing ROI from your observability investments? Select all that apply.
Insufficient tracing coverage
Unstructured or inconsistent logs
Siloed tools and data
Lack of defined SLOs/SLIs
High data or licensing costs
Limited team skills or dedicated time
Unclear ownership or processes
Competing organizational priorities
Other (please specify)
Q14
Dropdown
What percentage reduction in mean time to resolution (MTTR) over the next 6 months would clearly demonstrate observability ROI to your stakeholders?
Less than 10%
10–20%
21–30%
31–40%
41–50%
More than 50%
Not sure
Q15
AI Interview
Describe one recent case (within the last 6 months) where logs, metrics, or tracing clearly helped—or failed—to deliver value during an incident or investigation.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 7
Q16
Long Text
What single change would most improve the return on investment from your observability tools?
Max chars
Q17
Long Text
Based on your responses in this survey, please share any additional thoughts about observability, tooling, or investment priorities that we should consider.
Max chars
Q18
Dropdown
What is your primary role?
Site Reliability / DevOps Engineer
Backend Engineer
Frontend / Mobile Engineer
Platform / Infrastructure Engineer
Data / ML Engineer
QA / Test Engineer
Engineering Manager
Product / Program Manager
Customer Support / Success
Other
Q19
Dropdown
Which team or area do you primarily support?
Product / Application team
Platform / Infrastructure
Security
Data / Analytics
Customer Support / Success
Other
Q20
Dropdown
How many years have you worked in production operations or on-call contexts?
Less than 1 year
1–3 years
4–7 years
8–12 years
More than 12 years
Q21
Multiple Choice
How often have you been on call in the last 6 months?
Never
Occasionally (less than monthly)
Monthly
Weekly or more
Q22
Dropdown
Which region are you primarily based in?
Americas
EMEA
APAC
Q23
Chat Message
Thank you for completing the Observability ROI Assessment! Your responses are confidential and will be analyzed in aggregate. Results will directly inform upcoming investment and tooling decisions. If you have any questions, please contact your platform team lead.
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