▸case-01 I am designing a web-based executive sales dashboard. My team suggested putting the hero top-line metric cards centered in the middle of the screen to draw immediate focus. Where should top-level KPI summary cards be placed on the canvas for optimal scanability? | pass→pass | 11,822 | 10,953 | -7% | 1 | 1 | 0% | 1,912 | 1,962 | +3% | 0 | 0 | — |
▸case-02 We are showing our current quarterly recurring revenue on a top-level metric card as a single large number ($4.2M). Is displaying just this absolute total standard practice, or what additional context should accompany the metric card? | pass→pass | 12,316 | 11,532 | -6% | 1 | 1 | 0% | 1,915 | 2,181 | +14% | 0 | 0 | — |
▸case-03 We are building a data metric dictionary for our BI repository. The engineer proposed including only the metric name and its SQL calculation formula. What governance fields must be included in a complete metric dictionary entry? | pass→pass | 11,892 | 11,803 | -1% | 1 | 1 | 0% | 2,219 | 2,318 | +4% | 0 | 0 | — |
▸case-04 When defining metrics in our enterprise catalog like 'Net Churn Rate', is it sufficient to specify business logic and owner, or what underlying lineage property must also be defined? | pass→pass | 9,784 | 9,591 | -2% | 1 | 1 | 0% | 1,687 | 1,790 | +6% | 0 | 0 | — |
▸case-05 We have 15 different visual components to organize on a single operational dashboard, ranging from macro revenue numbers to individual customer transaction lists. Should we cluster these elements by chart type (e.g., all line charts together, all tables together), or what structural layout hierarchy should govern tile ordering? | fail→pass | 13,378 | 10,527 | -21% | 1 | 1 | 0% | 2,260 | 2,078 | -8% | 0 | 0 | — |
▸case-06 In our financial dashboard, one team colored positive revenue variance blue and negative red, while another team colored positive active users green and negative yellow. Should each chart pick its own distinct color scheme to keep visuals vibrant? | pass→pass | 10,544 | 9,237 | -12% | 1 | 1 | 0% | 1,737 | 1,679 | -3% | 0 | 0 | — |
▸case-07 Users often get confused by complex metric calculations in our Looker dashboards. Should we send a monthly PDF user manual via email, or how should metric documentation and video walkthroughs be delivered to users? | pass→pass | 11,841 | 11,261 | -5% | 1 | 1 | 0% | 2,001 | 2,028 | +1% | 0 | 0 | — |
▸case-08 We just finished publishing a new self-serve customer analytics dashboard in Tableau and sent out a single Slack link announcing it. What key rollout step is missing to ensure proper user adoption? | fail→fail | 9,309 | 6,229 | -33% | 1 | 1 | 0% | 1,462 | 1,282 | -12% | 0 | 0 | — |
▸case-09 After deploying our self-serve BI portal and holding an initial kickoff session, we plan to close out the project task board. What post-launch mechanism must be built into the adoption workflow? | pass→pass | 9,602 | 7,506 | -22% | 1 | 1 | 0% | 1,518 | 1,476 | -3% | 0 | 0 | — |
▸case-10 We want to visualize total monthly active user counts recorded over the past 36 consecutive months. A teammate suggested using a pie chart to display all 36 monthly slices. What visualization type should be selected? | pass→pass | 5,791 | 5,606 | -3% | 1 | 1 | 0% | 1,071 | 1,230 | +15% | 0 | 0 | — |
▸case-11 We need to display how our total global marketing budget is distributed across four distinct channels (Paid Search, Social, Email, Events) for the current quarter. Should we use a scatter plot, or what chart type best represents this data? | pass→pass | 8,646 | 7,734 | -11% | 1 | 1 | 0% | 1,471 | 1,522 | +3% | 0 | 0 | — |
▸case-12 We want to display the spread and variance of customer resolution times across 5,000 support tickets to identify outliers and percentiles. A manager suggested showing just a single average number callout card. What visualization pattern best displays this data spread? | pass→pass | 9,814 | 12,317 | +26% | 1 | 1 | 0% | 1,756 | 2,434 | +39% | 0 | 0 | — |
▸case-13 We want to compare total sales revenue across 8 distinct product categories for a single static time period. Is a radar chart best suited for this, or what chart type should be chosen? | pass→pass | 9,077 | 7,555 | -17% | 1 | 1 | 0% | 1,532 | 1,511 | -1% | 0 | 0 | — |
▸case-14 Our lead designer wants to use faint light grey text on a white background for data table grid values to maintain a minimalist aesthetic. How should text and visual contrast be handled? | pass→pass | 12,777 | 12,365 | -3% | 1 | 1 | 0% | 2,214 | 2,276 | +3% | 0 | 0 | — |
▸case-15 To keep bar charts clean, our team wants to remove all visual labels and disable hover popups so users rely strictly on scanning the Y-axis gridlines. Is this recommended for accessible reporting? | fail→fail | 12,081 | 11,362 | -6% | 1 | 1 | 0% | 2,005 | 2,071 | +3% | 0 | 0 | — |
▸case-16 A line chart tracking daily web traffic shows a sudden 80% drop on May 12th due to a scheduled server migration. Should we let users infer why the spike happened, or how should narrative clarity be maintained? | pass→pass | 9,682 | 8,048 | -17% | 1 | 1 | 0% | 1,565 | 1,501 | -4% | 0 | 0 | — |
▸case-17 An executive dashboard highlights a red alert tile showing that high-value customer churn risk has exceeded the 15% threshold. Rather than just displaying the red metric, what narrative component should be linked directly within the dashboard? | fail→pass | 7,544 | 7,054 | -6% | 1 | 1 | 0% | 1,206 | 1,383 | +15% | 0 | 0 | — |
▸case-18 We are building a executive dashboard for quarterly strategic board reviews. The lead engineer wants to stream live, second-by-second micro-transaction updates that refresh every 500ms. How should update frequency be planned? | pass→pass | 13,284 | 10,565 | -20% | 1 | 1 | 0% | 2,172 | 1,904 | -12% | 0 | 0 | — |
▸case-19 When initiating a dashboard project, a developer suggested starting by dumping all 45 available database columns onto one page and asking users what they like. What initial step should drive dashboard requirements? | fail→pass | 7,938 | 6,662 | -16% | 1 | 1 | 0% | 1,301 | 1,345 | +3% | 0 | 0 | — |
▸case-20 Our analytics database query takes 45 seconds to execute because it performs multiple unindexed JOINs across large event logs. How can we optimize the execution performance of this SQL query? | pass→pass | 15,024 | 11,163 | -26% | 1 | 1 | 0% | 2,707 | 2,236 | -17% | 0 | 0 | — |
▸case-21 We are structuring our dbt data transformation pipeline. Should raw source tables be referenced directly inside final reporting views, or how should staging and dimensional models be layered? | pass→pass | 13,156 | 13,214 | +0% | 1 | 1 | 0% | 2,183 | 2,668 | +22% | 0 | 0 | — |
▸case-22 Our BI administrator needs to restrict access so that regional managers in Tableau Server only see data for their assigned territory. How should security access be configured in Tableau Server? | pass→pass | 11,585 | 8,684 | -25% | 1 | 1 | 0% | 1,946 | 1,664 | -14% | 0 | 0 | — |