▸case-01 Our RevOps team needs a structured blueprint to build an intent-based account scoring system using data from website visits, content downloads, and product trials. Please create a comprehensive framework that includes an inventory breakdown for each signal, a detailed weighting and decay strategy, defined account activation tiers with action triggers, and a governance plan for future updates. | fail→pass | 28,831 | 23,762 | -18% | 1 | 1 | 0% | 4,643 | 4,171 | -10% | 0 | 0 | — |
▸case-02 We are seeing too many low-fit accounts jump into high-priority sales tiers, so we need to overhaul our account prioritization logic. Can you map out a complete multi-signal scoring model for us, including a scoring worksheet layout, time-decay schedules for activity signals, tier threshold definitions mapped to sales plays, and a formal change log template to keep stakeholders aligned? | fail→fail | 28,243 | 26,077 | -8% | 1 | 1 | 0% | 4,588 | 4,291 | -6% | 0 | 0 | — |
▸case-03 I need to present a formalized signal scoring and tiering methodology to our leadership team. Could you outline a multi-source scoring specification covering signal reliability and freshness requirements, persona weighting rules, expiration thresholds, a tier definition matrix, and guidelines for review cadence and ownership? | fail→fail | 29,509 | 24,669 | -16% | 1 | 1 | 0% | 4,812 | 4,403 | -8% | 0 | 0 | — |
▸case-04 Our marketing automation system keeps sending outbound promotional emails to active enterprise customers and opt-out accounts. Can you design account suppression rules and exclusion filters to block non-eligible accounts from receiving outbound campaign sequences? | fail→pass | 35,872 | 20,698 | -42% | 1 | 1 | 0% | 1,133 | 3,378 | +198% | 0 | 0 | — |
▸case-05 We are migrating to Salesforce and need to build custom objects for intent events. Can you create the CRM custom field API schema, field data types, and lookup relationships for sync between our data warehouse and Salesforce Contact records? | pass→pass | 16,675 | 19,772 | +19% | 1 | 1 | 0% | 2,657 | 3,540 | +33% | 0 | 0 | — |
▸case-06 Our inbound leads sit unassigned for days because our territory boundaries overlap. Can you design a round-robin lead routing and rep assignment rule set based on geographic territories and account ownership rules? | pass→pass | 20,165 | 21,827 | +8% | 1 | 1 | 0% | 2,951 | 3,557 | +21% | 0 | 0 | — |
▸case-07 We are setting up SDR playbooks where intent surges automatically trigger customized video creation and executive door-opener gifts. Our BDR manager wants to trigger these expensive plays whenever a prospect views the pricing page once. What rule should govern triggering high-effort sales plays? | pass→pass | 13,986 | 13,147 | -6% | 1 | 1 | 0% | 2,025 | 2,199 | +9% | 0 | 0 | — |
▸case-08 Create a layout for our RevOps signal scoring worksheet. A junior analyst suggested using only three columns: Signal Name, Point Value, and Category. What standard operational attributes must be present across worksheet rows? | fail→pass | 16,353 | 11,515 | -30% | 1 | 1 | 0% | 2,385 | 2,022 | -15% | 0 | 0 | — |
▸case-09 We are configuring intent decay across website visits, G2 content views, and product signups. Marketing wants to apply a uniform flat 10% decay at the end of every calendar month for all signals. How should decay curves be structured across different signal categories? | fail→pass | 18,619 | 17,619 | -5% | 1 | 1 | 0% | 2,916 | 2,839 | -3% | 0 | 0 | — |
▸case-10 When mapping account scores to operational workflows, our team plans to route every account scoring above 40 points straight to aggressive SDR phone calls. What broader range of operational outcomes should score thresholds map to? | pass→pass | 18,125 | 20,117 | +11% | 1 | 1 | 0% | 2,474 | 2,967 | +20% | 0 | 0 | — |
▸case-11 Design a change log template for our quarterly scoring model reviews. RevOps proposed simple columns for 'Date', 'Change Description', and 'Author'. What additional validation and governance fields must be included? | pass→pass | 15,373 | 13,660 | -11% | 1 | 1 | 0% | 2,485 | 2,541 | +2% | 0 | 0 | — |
▸case-12 We are auditing our buyer data inputs across Bombora intent, website visits, and event attendance. Our team listed signal names and vendor sources. What specific technical and quality dimensions must be documented for each input? | fail→fail | 19,162 | 13,914 | -27% | 1 | 1 | 0% | 2,901 | 2,270 | -22% | 0 | 0 | — |
▸case-13 In our target account scoring model, every whitepaper download awards a flat +15 points. How should base weights be modified to account for lead role and specific content focus? | pass→pass | 14,269 | 13,882 | -3% | 1 | 1 | 0% | 2,316 | 2,563 | +11% | 0 | 0 | — |
▸case-14 Our RevOps analyst modifies scoring weightings inside a private Google Sheet and emails summary slides once a year. How should scoring logic updates be tracked and communicated across RevOps and sales teams? | fail→pass | 18,448 | 13,597 | -26% | 1 | 1 | 0% | 2,559 | 2,390 | -7% | 0 | 0 | — |
▸case-15 We are writing the operational governance document for our account scoring engine. The RevOps lead suggested only listing the engine owner's name. What key structural components belong in the governance section? | pass→pass | 12,382 | 13,659 | +10% | 1 | 1 | 0% | 1,888 | 2,276 | +21% | 0 | 0 | — |
▸case-16 Build a tier definition matrix layout for our RevOps model. The sales team wants a table showing Tier 1, Tier 2, and Tier 3 with minimum score ranges. What crucial execution details must accompany each tier? | pass→pass | 15,092 | 13,212 | -12% | 1 | 1 | 0% | 2,363 | 2,300 | -3% | 0 | 0 | — |
▸case-17 Our enterprise sales team complains that when a C-level executive at a Target 100 account shows intense buying intent, the account sits in standard SDR nurture queues for days. How should the tiering model address this spike? | fail→pass | 16,985 | 14,811 | -13% | 1 | 1 | 0% | 2,384 | 2,451 | +3% | 0 | 0 | — |
▸case-18 Our CRM developer asks whether time decay on old activity signals should calculate fractional decay points indefinitely (e.g., 0.001 points after 6 months). What rule governs signal decay lifecycle limits? | pass→pass | 12,958 | 10,353 | -20% | 1 | 1 | 0% | 1,816 | 1,784 | -2% | 0 | 0 | — |
▸case-19 We are adding G2 buyer intent data and LinkedIn ad engagement signals to our account scoring model. Before assigning base weights, what foundational inventory metrics must be evaluated for these new data streams? | fail→pass | 16,438 | 11,318 | -31% | 1 | 1 | 0% | 2,412 | 1,906 | -21% | 0 | 0 | — |
▸case-20 A junior BDR noticed that an intern downloading a generic ebook gets the exact same score as a VP of Infrastructure downloading a Kubernetes migration blueprint. How should the scoring model differentiate these two interactions? | fail→pass | 13,154 | 14,829 | +13% | 1 | 1 | 0% | 1,985 | 2,455 | +24% | 0 | 0 | — |
▸case-21 An account that was flagged as a Tier 1 hot prospect last week suddenly dropped out of SDR active queues. What framework steps should RevOps execute to audit why this account moved tiers? | fail→pass | 15,683 | 13,317 | -15% | 1 | 1 | 0% | 2,276 | 2,171 | -5% | 0 | 0 | — |
▸case-22 Our RevOps team disagrees on when we should update signal weights. Some want monthly updates, while others prefer updating only after major product launches. How should model re-evaluation rules be formalized? | pass→pass | 23,821 | 15,045 | -37% | 1 | 1 | 0% | 2,435 | 2,311 | -5% | 0 | 0 | — |