Assessing candidates, reimagined in the AI-era.
Drop candidates into a synthetic clone of your company, every app you use: Slack, Jira, Confluence, Zendesk, and your data warehouse with an AI co-pilot beside them. Watch how they use AI to navigate and problem-solve.
Role · Growth Analyst (B2B SaaS)
Acme Inc. is a growth-stage B2B SaaS. Last week activation dropped 18%
week-over-week. Your job: find out why.
What you have
- A warehouse with the event / user / account stack.
- Slack history, Jira board, Confluence space, and Zendesk queue from
the same week. - An AI co-pilot that can query any of them.
Submit when you can name
- The proximate cause of the drop.
- The evidence trail that confirms it.
- The one thing that would have caught it sooner.
- events
- users
- accounts
- feature_flags
- onboarding_steps
Pick a sector template.
Start with a hand-tuned template for B2B SaaS, payments, marketplaces, or devtools. Describe the role and your stack in plain English.
See it in action New assessment
Pick a template to start. You can customize everything from the canvas.
Senior Fraud Operations Analyst
Investigates a 30-day chargeback spike across affiliate channels, identifies a rules-engine gap, and writes the root-cause narrative.
Senior RevOps Analyst
Triages funnel anomalies, coordinates with Marketing and CS, builds SQL against the warehouse, and writes findings.
CS Operations Manager
Builds retention models, owns the at-risk queue, and prioritizes interventions across the customer base.
Pre-Sales / Solutions Engineer
Investigates a prospect's technical environment, designs a POC, and writes the implementation plan.
We generate a synthetic company.
An AI pipeline writes the brief, fills the warehouse, seeds Slack threads, opens Jira tickets, and plants the diagnosis. You review and approve before it goes live.
See it in action Candidates work, you watch them think.
Every surface, query, prompt, and decision is logged in realtime. Watch them triangulate across your “company”, instead of guessing how they’d fit.
See it in action Get a defensible read on the result.
Dimensional scores for correctness, synthesis, and prompt skill, with a live playback you can scrub to watch them think. Review a 75-minute session in minutes.
See it in action Dashboard / Junior Pre-Sales Consultant Graduate
candidate-001@example.com · Candidate 001
submitted · spent $3.56 · May 9, 2026, 02:18 PM → May 9, 2026, 02:53 PM
Grader
Overall
58
Accuracy
55
Exploration
58
Reasoning
62
Prompting
60
Bottom line
A promising start with correct timing and plan-tier identification, but the candidate stopped one drill short of the planted signal — never isolating the specific October 2025 agency webinar acquisition cohort as the dominant churn driver.
What went well
- Turn 32 correctly identified February 2026 as the critical churn month with 93.7% retention and $3,670 MRR lost, matching the reference figures almost exactly (canvas block 3/4).
- Ruled out enterprise and business tiers, narrowing the issue to Tier 2 Team accounts — a valid partial segmentation (canvas block 5).
- Cancel reason analysis surfaced
onboarding_gapas the leading driver, consistent with the planted root cause.
What was missed
- Never joined
accounts.acquisition_cohort_monthinto the churn segmentation — the October 2025 agency webinar cohort was never identified as the concentrated driver. - No query was run to identify still-active at-risk accounts from the same cohort (~$3,530 MRR at risk), leaving the "save motion" recommendation without a target list.
- The Jan 2026 churn figure (98.9% retention) should have been noted as likely offset by expansion rather than treated as a mild churn event.
Waitlist
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