Challenge your visual working memory and cognitive updating speed. Track sequences of highlighted hexagonal patterns and decide if the current shape matches the one shown 1, 2, 3, or 4 steps back.
Authentic HireVue: Questions strictly up to 2 steps back across 43 levels.
Segmented Ring: Compare multi-colored and partitioned boundary segments.
FlashBack is a digital recreation of the visual $N$-back cognitive exercise delivered via the HireVue talent evaluation suite. Global recruiters use this exercise to measure how efficiently candidates add incoming data to temporary storage, purge outdated information, and maintain sustained attention under pressure.
The objective of FlashBack is to evaluate sequential visual shapes and decide whether the current shape matches the one shown a specific number of steps earlier (1 or 2 steps back in authentic test mode, with optional settings for 3-back and 4-back extended challenges). It trains working memory updating, pattern retention, and perceptual focus under a 45-second per-step response limit.
HireVue game-based cognitive assessments like FlashBack and Numerosity are widely deployed by major global corporations during graduate, internship, and professional hiring rounds. Leading employers—including PwC, Unilever, EY, Shell, JP Morgan, Tesco, Deloitte, Barclays, Mercedes-Benz, and Boeing—use these gamified tasks to measure mental agility, cognitive speed, and working memory efficiency.
FlashBack is a visual N-back task. In authentic test mode, questions go up to 2 steps back across 43 levels: early levels (Levels 1–20) use 1-back comparison ("Does this shape match the previous shape?"), and Levels 21–43 use 2-back comparison ("Does this shape match the one shown two shapes back?"). An optional setting enables higher levels and 3+ steps back for advanced cognitive training.
FlashBack assesses visual working memory capacity, updating efficiency, perceptual processing speed, and the ability to resist cognitive interference (such as near-miss lures from adjacent sectors or shapes seen at non-target lags).
Maintain a rolling mental window: only store the exact N shapes required by the current lag level. Use concise verbal shorthand tags (e.g., "top", "bottom-right", "left") rather than trying to picture full shapes. Most importantly, if you miss a shape, let it go immediately and rebuild your queue from the next incoming item without pausing.