▸case-04 Our trust and safety analysts are handling flagged referral cases on an ad-hoc basis through Slack messages without standard procedures. What structured component needs to be created to standardize evidence collection, messaging, and case resolution? | pass→pass | 11,258 | 7,332 | -35% | 1 | 1 | 0% | 1,621 | 1,333 | -18% | 0 | 0 | — |
▸case-01 We are designing a referral fraud detection system for an e-commerce enterprise. Our engineering team wants to jump directly into building a risk scoring model using machine learning on account age. What initial phase of referral fraud architecture should be established prior to building the scoring model? | pass→pass | 14,923 | 31,796 | +113% | 1 | 1 | 0% | 2,041 | 1,578 | -23% | 0 | 0 | — |
▸case-02 Our fraud operations team has collected initial signals like device IDs and IP ranges. They want to apply a uniform 50-point risk penalty across every single account flag. How should risk scoring be structured across different account categories? | pass→pass | 18,565 | 16,911 | -9% | 1 | 1 | 0% | 2,643 | 2,587 | -2% | 0 | 0 | — |
▸case-03 When our scoring engine flags a referral payout as high risk, our product manager suggests instantly deleting the account and banning the user IP without review. What automated workflow actions should be taken for flagged rewards prior to final resolution? | pass→pass | 17,155 | 15,030 | -12% | 1 | 1 | 0% | 2,332 | 2,340 | +0% | 0 | 0 | — |
▸case-05 We finished an investigation that uncovered a massive farm exploiting our double-sided signup bonus. The case is marked closed in our ticket system. What final step must be taken to ensure future referral program safeguards adapt to this finding? | pass→pass | 10,045 | 6,704 | -33% | 1 | 1 | 0% | 1,364 | 1,148 | -16% | 0 | 0 | — |
▸case-06 To catch referral bots, our lead developer proposed relying exclusively on client-side CAPTCHA challenges. What database-level cross-checks should be integrated into the signal gathering pipeline? | pass→pass | 19,917 | 20,142 | +1% | 1 | 1 | 0% | 2,645 | 3,194 | +21% | 0 | 0 | — |
▸case-07 A referrer in Germany successfully claims 50 signup rewards in 10 minutes where all referred users list physical shipping addresses in Japan. Our default filter only checks if the email domains match. What signal comparison should be integrated into the risk model for this pattern? | pass→pass | 14,116 | 10,321 | -27% | 1 | 1 | 0% | 1,930 | 1,761 | -9% | 0 | 0 | — |
▸case-08 We need to outline an operational dashboard for monitoring our customer referral program integrity. Should the dashboard focus solely on total payout dollar amounts? | fail→pass | 14,023 | 12,499 | -11% | 1 | 1 | 0% | 2,020 | 2,195 | +9% | 0 | 0 | — |
▸case-09 Our team tracks referral fraud investigations in an unstructured text document. We want to standardize the tracking schema. What standard attributes should be included in every case entry? | pass→pass | 14,198 | 15,811 | +11% | 1 | 1 | 0% | 2,155 | 2,728 | +27% | 0 | 0 | — |
▸case-10 Before launching revised terms to stop referral farming, our product lead wants to deploy the new policy immediately via a push notification. Which cross-functional stakeholders need to be included in the update review process? | fail→fail | 13,937 | 10,144 | -27% | 1 | 1 | 0% | 1,943 | 1,670 | -14% | 0 | 0 | — |
▸case-11 Our engineering director wants to replace all human fraud reviews with 100% automated decisioning to reduce operational overhead. What audit strategy should be maintained alongside automated checks? | pass→pass | 15,857 | 16,040 | +1% | 1 | 1 | 0% | 2,260 | 2,423 | +7% | 0 | 0 | — |
▸case-12 We discovered several affiliate accounts gaming payouts post-launch, but our team is unsure if we can legally or financially reclaim the issued rewards. When and with whom should clawback procedures be established? | pass→pass | 18,201 | 17,118 | -6% | 1 | 1 | 0% | 2,517 | 2,496 | -1% | 0 | 0 | — |
▸case-13 After mitigating a high-volume referral loop exploit, our fraud team archived the report internally. Which team should receive these insights to prevent future exploitability in promo structures? | pass→pass | 10,971 | 6,733 | -39% | 1 | 1 | 0% | 1,390 | 1,161 | -16% | 0 | 0 | — |
▸case-14 When an analyst receives a flagged referral network ticket, what specific activity should be conducted during the initial phase of the runbook before taking punitive action? | pass→pass | 11,066 | 7,733 | -30% | 1 | 1 | 0% | 1,470 | 1,293 | -12% | 0 | 0 | — |
▸case-15 A single IP address created 200 referral accounts in under 3 minutes. Our static account verification passed all of them because emails were unique. What specific detection mechanism catches this temporal anomaly? | pass→pass | 15,045 | 11,372 | -24% | 1 | 1 | 0% | 2,059 | 1,816 | -12% | 0 | 0 | — |
▸case-16 An influencer account generates 10,000 referrals in a day. The base scoring model treats every user with identical weight. Which specific user segment risk weighting should be applied here? | pass→pass | 11,992 | 7,501 | -37% | 1 | 1 | 0% | 1,750 | 1,388 | -21% | 0 | 0 | — |
▸case-17 A user's referral conversion rate suddenly jumps from 2% to 95%, triggering a medium-risk alert. Should the system immediately disburse cash rewards while the ticket sits in queue? | pass→pass | 10,099 | 10,202 | +1% | 1 | 1 | 0% | 1,400 | 1,651 | +18% | 0 | 0 | — |
▸case-18 An analyst completes an investigation into a referral ring and mitigates the accounts. What record-keeping field ensures historical traceability for future reviews of this referrer? | fail→pass | 9,440 | 5,057 | -46% | 1 | 1 | 0% | 1,270 | 907 | -29% | 0 | 0 | — |
▸case-19 We are restricting referral rewards to paid accounts only. What cross-functional verification steps prevent regulatory non-compliance and partner confusion during this rollout? | pass→pass | 17,249 | 17,820 | +3% | 1 | 1 | 0% | 2,364 | 2,735 | +16% | 0 | 0 | — |
▸case-20 Our online store is experiencing a surge in credit card chargebacks from stolen visa cards used at checkout. How should we configure 3D Secure 2.0 thresholds and merchant category codes to lower gateway interchange fees? | pass→pass | 19,042 | 21,683 | +14% | 1 | 1 | 0% | 2,721 | 3,281 | +21% | 0 | 0 | — |
▸case-21 Draft the full legal indemnification and governing law clauses for our enterprise B2B partner affiliate agreement under Delaware jurisdiction. | pass→pass | 18,687 | 18,694 | +0% | 1 | 1 | 0% | 3,054 | 3,237 | +6% | 0 | 0 | — |
▸case-22 Users are reporting unauthorized password resets caused by credential stuffing on our primary login portal. How should we configure WebAuthn and TOTP multi-factor authentication policies on Okta? | pass→pass | 17,961 | 16,937 | -6% | 1 | 1 | 0% | 2,654 | 2,621 | -1% | 0 | 0 | — |