Write the problem hypothesis
For [developer], completing [setup or development task] is unclear at [step], causing [abandonment or rework].
You can name one user, one situation and one measurable consequence without proposing a feature.Multi agents setup - Supported ?
Evidence observed in HKUDS/nanobot, a Productivity project.
10 comments7 positive reactions231 days openProject Radar 98
stale
Start free validation sprint4 guided steps · private notes · cloud sync
REPEATED ACROSS 4 PROJECTS
Related friction appears in 4 independent repositories. This is stronger than one backlog item, but still requires direct user validation.
Project strength and demand confidence are measured separately.SOURCE EVIDENCE
Read original GitHub Issue ↗Start with what users actually said
Reporter context: Is multi agent setup supported? Looks like it does, based on configs If not any plan to implement it Would love to see docs / small guide about multi agent setupExcerpted from the public Issue. Read the complete thread before interpreting it.
Recruit: Recruit people who repeat the task every week and can show their current calendar, notes or coordination workaround.
Guardrail: Measure repeated use and time returned across two cycles, not a one-time demo completion.
Interview five operators or knowledge workers
- Screen-share the task without guidance.
- Where do you first hesitate?
- What did you search for?
- Which error or concept is unclear?
- What workaround finally unblocked you?
Run the smallest experiment
Create the smallest example, diagnostic or setup assistant and observe three developers using it unprompted.
Three developers finish the task with fewer interventions or measurably less time.Measure repeated use and time returned across two cycles, not a one-time demo completion.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.