Write the problem hypothesis
For [specific user], completing [job] is difficult because [missing capability], causing [measurable consequence].
You can name one user, one situation and one measurable consequence without proposing a feature.feat: Add support for OpenAI-compatible LLM endpoints (Groq, Ollama, Azure OpenAI, etc.)
Evidence observed in google/adk-java, a Productivity project.
11 comments3 positive reactions116 days openProject Radar 89
needs review
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SOURCE EVIDENCE
Read original GitHub Issue ↗Start with what users actually said
Reporter context: 🔴 Required Information Is your feature request related to a specific problem? Yes. Currently, ADK-Java only supports Google's Gemini and Claude models out of the box. Developers cannot easily use other LLM providers that implement the OpenAI Chat Completions API format, such as: Groq (fast inference with open models)…Excerpted from the public Issue. Read the complete thread before interpreting it.
Interview five affected users
- When did you last need this?
- What outcome were you trying to reach?
- What did you use instead?
- How often does this occur?
- What commitment would prove it matters?
Run the smallest experiment
Deliver the outcome manually or with a narrow prototype before building a reusable feature.
A user completes the real workflow and commits time, data, distribution or budget to repeat it.Make a build decision
- Build: repeated pain and active commitment
- Narrow: pain is real but the audience or job differs
- Stop: weak frequency or no behavioral proof
Why this brief exists
Information has value only when it changes action. This page turns one public signal into a bounded validation exercise. It is a research aid, not proof of demand, investment advice or a product recommendation.