Measures developer-perceived latency thresholds, tail-latency tolerance, and performance trade-off priorities by use case. Use it to benchmark acceptable response times, set data-informed SLOs and SLAs, and prioritize performance investments that align with what developers actually care about.
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
24
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, and thank you for your interest in this survey on developer latency experiences.
This survey takes approximately 5–7 minutes. Your participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers — we are interested in your honest opinions and real-world experiences from the last 30 days.
All responses are confidential, will be anonymized, and reported only in aggregate for internal research purposes.
Q2
Multiple Choice
Have you written, reviewed, or deployed code in a professional capacity in the last 30 days?
Yes
No
Q3
Multiple Choice
Which of the following languages or platforms did you actively use in the last 30 days? (Select all that apply)
JavaScript/Node.js
TypeScript
Python
Java
Go
Rust
.NET/C#
Ruby
Kotlin
Swift
C/C++
Other (please specify)
Q4
Multiple Choice
Which of the following use cases are most relevant to your current work? (Select all that apply)
User-facing web API
Interactive UI actions
Search/query
Payments/auth/checkout
Online ML inference
Batch ML/offline scoring
Streaming/real-time feeds
Data pipelines/ETL
Background jobs
Build/test/dev tooling
Other (please specify)
Q5
Opinion Scale
Overall, how sensitive to latency are your primary workloads?
Range: 1 – 7
Min: Not at all sensitiveMid: NeutralMax: Extremely sensitive
Q6
Dropdown
For user-facing requests, what do you consider an acceptable median (p50) latency?
< 20 ms
20–50 ms
50–100 ms
100–200 ms
200–500 ms
500 ms – 1 s
> 1 s
Q7
Dropdown
For user-facing requests, what do you consider an acceptable 95th-percentile (p95) latency?
< 50 ms
50–100 ms
100–250 ms
250–500 ms
500 ms – 1 s
1–2 s
> 2 s
Q8
Opinion Scale
How important is reducing tail latency (p95/p99) compared to reducing average latency for your workloads?
Range: 1 – 7
Min: Not at all importantMid: NeutralMax: Extremely important
Q9
Dropdown
Over the last 30 days, what p95 latency have you typically observed for your primary endpoint?
< 50 ms
50–100 ms
100–250 ms
250–500 ms
500 ms – 1 s
1–2 s
2–5 s
> 5 s
I don't monitor this metric
Q10
Dropdown
What is your typical default timeout setting for external API or service calls?
< 500 ms
500 ms – 1 s
1–3 s
3–5 s
5–10 s
10–30 s
> 30 s
No explicit timeout set
Q11
Opinion Scale
If your median latency meets its target, how acceptable are occasional latency spikes?
When latency threatens your SLA or SLO, rank your top strategies in order of priority (drag to reorder).
Drag to order (top = most important)
Degrade non-critical features
Cache more aggressively
Precompute or batch work
Parallelize or partition requests
Return partial results
Scale up/out resources
Fail fast with retry/backoff
Q13
Dropdown
What is the maximum acceptable end-to-end latency you would set for interactive UI actions (e.g., button clicks, navigation)?
< 100 ms
100–200 ms
200–500 ms
500 ms – 1 s
1–2 s
> 2 s
Q14
Dropdown
What is the maximum acceptable end-to-end latency you would set for synchronous API calls (e.g., REST/gRPC)?
< 100 ms
100–250 ms
250–500 ms
500 ms – 1 s
1–3 s
> 3 s
Q15
Dropdown
What is the maximum acceptable end-to-end latency you would set for batch or background jobs?
< 1 s
1–5 s
5–30 s
30 s – 2 min
2–10 min
> 10 min
Q16
Ranking
For a latency-sensitive workload, rank the following priorities from most to least important.
Drag to order (top = most important)
Median latency (p50)
Tail latency (p95/p99)
Availability/reliability
Cost efficiency
Throughput
Feature completeness
Developer productivity
Q17
Dropdown
In your experience, above what latency do interactive actions start to feel noticeably slow to users?
100 ms
200 ms
300 ms
500 ms
800 ms
1 s
> 1 s
Q18
AI Interview
We'd like to explore your latency trade-off decisions in a bit more depth. An AI moderator will ask you a couple of follow-up questions.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 7
Q19
Long Text
Based on your responses in this survey, please share any additional thoughts about acceptable latency, tail behavior, or how latency considerations shape your system designs.
Max chars
Q20
Multiple Choice
Which of the following best describes your current role?
Backend engineer
Frontend/web engineer
Full-stack engineer
Mobile engineer
ML/AI engineer
SRE/DevOps
Data engineer
Engineering manager
Other (please specify)
Q21
Dropdown
How many years of professional software development experience do you have?
< 1
1–2
3–5
6–9
10–14
15+
Q22
Dropdown
Approximately how large is your organization?
1 (just me)
2–10
11–50
51–200
201–1,000
1,001–5,000
> 5,000
Q23
Dropdown
In which region are you primarily located?
North America
Latin America
Europe
Middle East
Africa
Asia
Oceania
Prefer not to say
Q24
Chat Message
Thank you for completing this survey! Your responses will be used in aggregate to help set better latency benchmarks and improve developer tooling experiences. If you have questions, please contact the research team.
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