docs: add migration benchmark issue template

Add a dedicated migration benchmark report template and link it from migration docs and examples.

.github/ISSUE_TEMPLATE/migration_benchmark.md

@@ -0,0 +1,71 @@
+---
+name: 📊 Migration Benchmark Report
+about: Share FunASR results when comparing against Whisper, OpenAI audio APIs, or cloud ASR
+labels: 'benchmark, showcase, needs triage'
+---
+
+Thanks for benchmarking FunASR on your own audio. Migration reports help new users decide whether FunASR fits their language, domain, hardware, and deployment constraints.
+
+If you need help debugging a failure, please use Bug Report or Deployment Help instead.
+
+## Summary
+
+<!-- One or two sentences: what did you compare, and what was the headline result? -->
+
+## Baseline
+
+- Baseline ASR (`Whisper`, `Whisper large-v3`, cloud provider, internal system, other):
+- Baseline runtime or API:
+- Baseline hardware or pricing tier:
+
+## FunASR setup
+
+- FunASR version:
+- Model(s):
+- Runtime path (`Python API`, `funasr-server`, `OpenAI API`, `Docker`, `WebSocket`, `vLLM`, other):
+- Device (`cuda`, `cpu`, `mps`):
+- GPU / CPU:
+- CUDA / PyTorch versions:
+- Command or script used:
+
+```bash
+
+```
+
+## Audio set
+
+- Number of files:
+- Total audio duration:
+- Language(s) / dialect(s):
+- Domain (`meeting`, `call-center`, `subtitle`, `lecture`, `media`, `noisy field audio`, other):
+- Speaker count range:
+- Sample rate / format:
+- Can any sample be shared publicly? yes/no
+
+## Results
+
+<!-- Paste the aggregate section from examples/migration/benchmark_funasr.py summary.md, or summarize your own measurement. -->
+
+```text
+
+```
+
+## Quality notes
+
+<!-- Share WER/CER if available, or human-review notes about names, numbers, punctuation, timestamps, speaker labels, and domain terms. -->
+
+## Operational notes
+
+- Model download / warmup time:
+- Steady-state throughput:
+- Memory usage:
+- Failed files or error rate:
+- Deployment blockers:
+
+## Links or artifacts
+
+<!-- Public repo, demo, blog, benchmark sheet, screenshot, anonymized transcript snippet, or architecture diagram. Do not include private audio, credentials, or customer data. -->
+
+## What should FunASR improve next?
+
+<!-- Missing docs, rough edges, model gaps, deployment friction, benchmark needs, etc. -->

docs/migration_from_whisper.md

@@ -93,4 +93,4 @@ Track these fields for both the old pipeline and FunASR:
 
 ## Share the result
 
-If FunASR replaces or complements your existing ASR stack, consider opening a [showcase issue](https://github.com/modelscope/FunASR/issues/new?template=showcase.md). Migration reports with hardware, speed, quality notes, and deployment details help new users choose the right path faster.
+If FunASR replaces or complements your existing ASR stack, consider opening a [Migration Benchmark Report](https://github.com/modelscope/FunASR/issues/new?template=migration_benchmark.md) or [showcase issue](https://github.com/modelscope/FunASR/issues/new?template=showcase.md). Migration reports with hardware, speed, quality notes, and deployment details help new users choose the right path faster.

docs/migration_from_whisper_zh.md

@@ -93,4 +93,4 @@ curl http://localhost:8000/v1/audio/transcriptions \
 
 ## 分享迁移结果
 
-如果 FunASR 替代或补充了你的现有 ASR 栈，欢迎开一个 [showcase issue](https://github.com/modelscope/FunASR/issues/new?template=showcase.md)。包含硬件、速度、质量记录和部署细节的迁移报告，能帮助新用户更快选型。
+如果 FunASR 替代或补充了你的现有 ASR 栈，欢迎提交 [Migration Benchmark Report](https://github.com/modelscope/FunASR/issues/new?template=migration_benchmark.md) 或 [showcase issue](https://github.com/modelscope/FunASR/issues/new?template=showcase.md)。包含硬件、速度、质量记录和部署细节的迁移报告，能帮助新用户更快选型。

docs/use_case_showcase.md

@@ -78,7 +78,7 @@ Use this path when deciding whether FunASR is a good replacement for Whisper or
 
 ## Share your result
 
-If FunASR works well in your project, consider opening a [showcase issue](https://github.com/modelscope/FunASR/issues/new?template=showcase.md) or GitHub Discussion with:
+If FunASR works well in your project, consider opening a [showcase issue](https://github.com/modelscope/FunASR/issues/new?template=showcase.md), [Migration Benchmark Report](https://github.com/modelscope/FunASR/issues/new?template=migration_benchmark.md), or GitHub Discussion with:
 
 - Use case and deployment mode.
 - Model, device, and processing speed.

docs/use_case_showcase_zh.md

@@ -78,7 +78,7 @@ curl http://localhost:8000/v1/audio/transcriptions \
 
 ## 分享你的结果
 
-如果 FunASR 在你的项目里效果不错，欢迎通过 [showcase issue](https://github.com/modelscope/FunASR/issues/new?template=showcase.md) 或 GitHub Discussion 分享：
+如果 FunASR 在你的项目里效果不错，欢迎通过 [showcase issue](https://github.com/modelscope/FunASR/issues/new?template=showcase.md)、[Migration Benchmark Report](https://github.com/modelscope/FunASR/issues/new?template=migration_benchmark.md) 或 GitHub Discussion 分享：
 
 - 使用场景和部署方式。
 - 模型、设备和处理速度。

examples/migration/README.md

@@ -55,6 +55,8 @@ python examples/migration/benchmark_funasr.py \
 - `results.jsonl`：每条音频的文本、耗时、音频时长、实时倍速和错误信息。
 - `summary.md`：运行配置、总体速度、逐文件预览和下一步对比建议。
 
+如果结果可以公开，欢迎提交 [Migration Benchmark Report](https://github.com/modelscope/FunASR/issues/new?template=migration_benchmark.md)，帮助其他用户参考你的硬件、音频领域和质量记录。
+
 ## What to compare
 
 Track the same fields for your old ASR stack and FunASR:
@@ -67,4 +69,4 @@ Track the same fields for your old ASR stack and FunASR:
 | WER/CER or human review notes | Captures quality beyond speed. |
 | Failed-file rate and error messages | Shows operational risk before rollout. |
 
-See the [migration guide](../../docs/migration_from_whisper.md) for the full evaluation and rollout checklist.
+See the [migration guide](../../docs/migration_from_whisper.md) for the full evaluation and rollout checklist. If you can share results publicly, open a [Migration Benchmark Report](https://github.com/modelscope/FunASR/issues/new?template=migration_benchmark.md) so others can learn from your hardware, audio domain, and quality notes.