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.Doesn't honour pydantic model field datatype and randomly throws `langchain_core.exceptions.OutputParserException`
Evidence observed in langchain-ai/langchain, a Research project.
29 comments5 positive reactions154 days openProject Radar 93
bugcorelangchainexternal
Start free validation sprint4 guided steps · private notes · cloud sync
SOURCE EVIDENCE
Read original GitHub Issue ↗Start with what users actually said
Reporter context: Checked other resources [x] This is a bug, not a usage question. [x] I added a clear and descriptive title that summarizes this issue. [x] I used the GitHub search to find a similar question and didn't find it. [x] I am sure that this is a bug in LangChain rather than my code. [x] The bug is not resolved by updating…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.