Product Signal Graph Recovery
An advanced research benchmark for recovering latent product problems from noisy, multi-source workplace communication.
PSGR-Bench. Full release coming soon.
Advanced benchmark
Built from real product signal chaos
Product teams already have scattered evidence in Slack, Jira, support tickets, customer calls, docs, and meeting notes. Finding messages is easy. Recovering the underlying product graph is not. PSGR-Bench is an advanced benchmark built for that harder problem.
Episode recipes
Structured test scenarios
Seed episodes
Curated evaluation set
Conversation scale
Long, noisy threads
Sources
Slack + workspace
What PSGR-Bench tests
An advanced evaluation of whether systems can read noisy, multi-source workplace communication and recover the latent product signal graph hidden inside it.
Recover the hidden product graph
Given Slack threads plus workspace artifacts, can a system identify which evidence points to the same product problem, which is noise, and which issues matter most?
Link related evidence
Decide which messages, tickets, and docs refer to the same underlying product problem.
Filter noise
Separate real product signal from chatter, tangents, and unrelated workplace noise.
Handle near-duplicates
Know when two issues are duplicates, when they should stay separate, and which one matters more.
Rank what matters
Prioritize the problems that deserve attention and cite the evidence behind each conclusion.
Full release coming soon
The public benchmark package, episode browser, and evaluation toolkit are on the way. Reach out if you want early access or research collaboration.
Get in touch