API Rate Limit Fairness & Productivity Impact Survey
Measures developer perceptions of API rate-limit fairness, documentation clarity, productivity impact, and coping strategies. Designed for API product teams and developer-experience researchers seeking actionable data to improve throttling policies and pricing tiers.
登録なしでお試し可能・無料プランでも回答数無制限
Welcome to this survey on your experience with API rate limits. This survey takes approximately 7–9 minutes. Your participation is voluntary and you may stop at any time. All responses are anonymous and will be reported only in aggregate. There are no right or wrong answers — we are interested in your honest opinions and experiences. By continuing, you agree to participate.
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デフォルト テーマ。色とフォントは自由に変更できます。
設問の例
テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。
Which types of APIs have you integrated in the past 6 months? (Select all that apply.)
- Public REST/HTTP APIs
- GraphQL APIs
- gRPC services
- WebSocket/streaming APIs
- Cloud provider APIs
- Third-party SaaS APIs
- Internal microservice APIs
- SDK-only integrations
- Other
In the past 3 months, how often did you hit a rate limit on any API you use?
- Never
- Once
- 2–3 times
- About monthly
- About weekly
- Several times per week
- Daily or more
Which rate-limit mechanisms have you encountered recently? (Select all that apply.)
- Fixed requests per minute/hour
- Burst plus sustained (token bucket)
- Leaky bucket
- Concurrency caps (simultaneous requests)
- Daily or monthly quotas
- Cost/compute unit budgets
- IP-based limits
- User or org-based limits
- Adaptive/dynamic throttling
- Not sure / Other
Overall, how fair were the rate limits you encountered in the past 3 months?
The rate-limit documentation I encountered was clear and easy to understand.
When I hit a rate limit, the error messages and response headers gave me enough information to resolve the issue.
Rate limits were enforced predictably and consistently across my requests.
To what extent did rate limits slow down your development work in the past 3 months?
How severe was the most significant rate-limit incident you experienced in the past 3 months in terms of its downstream impact (e.g., on end users or business outcomes)?
When you hit a rate limit, which actions do you typically take? (Select all that apply.)
- Exponential backoff/retry
- Queue or defer requests
- Batch or cache requests
- Optimize code to reduce API calls
- Request a higher tier or limit increase
- Switch to an alternative provider
- Use mirrors or proxies
- Throttle or limit end-user features
- Accept the limit / do nothing
- Other
Please rank the following factors by how much they would improve your perception of rate-limit fairness (drag the most important to the top).
- Clear documentation
- Transparent tiers and upgrade paths
- Predictable and consistent enforcement
- Helpful error messages and headers
- Representative sandbox limits
- Flexible burst handling or grace periods
- Responsive limit-increase process
What price increase would you consider acceptable for approximately 2× higher rate limits on a critical API?
- 0% — I wouldn't pay more
- 1–10%
- 11–25%
- 26–50%
- 51–75%
- 76–100%
- More than 100%
Briefly describe a recent incident where rate limits affected your workflow or customers. What changed afterward?
Based on your survey responses, is there anything else you'd like to share about your experience with API rate limits — what works well, what frustrates you, or what you wish providers would change?
Which role best describes your current position?
- Backend developer
- Full-stack developer
- Frontend developer
- Mobile developer
- Data/ML engineer
- SRE/DevOps
- Product manager
- Founder/CTO
- Other
How many years have you worked professionally with APIs?
- Less than 1
- 1–2
- 3–5
- 6–10
- 11 or more
What is your company size (total employees)?
- Just me
- 2–10
- 11–50
- 51–200
- 201–1,000
- 1,001–5,000
- 5,001+
Which region are you primarily based in?
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East
- Africa
- Other
Thank you for completing this survey! Your responses are anonymous and will be used in aggregate to help API providers improve rate-limit policies and developer experience.
含まれる機能
AIによる深掘り
自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。
注意確認設問
急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。
AIが作成する設問文
文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。
自動レポート
回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。
よくあるご質問
「API Rate Limit Fairness & Productivity Impact Survey」テンプレートにはどのような設問が含まれていますか?
すぐに使える設問が18問含まれており、最初の設問は次のとおりです:「Which types of APIs have you integrated in the past 6 months? (Select all that apply.)」・「In the past 3 months, how often did you hit a rate limit on any API you use?」・「Which rate-limit mechanisms have you encountered recently? (Select all that apply.)」。すべての設問は上でプレビューでき、自由に編集できます。
このアンケートの回答にはどのくらい時間がかかりますか?
回答者は通常、18問を約9分で回答し終えます。
テンプレートは編集できますか?
はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。
このテンプレートは無料で使えますか?
はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。
公開の準備はできましたか?
このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。
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