New features can spike metrics at launch and fade as users adapt. Test your ability to recognise and mitigate novelty and learning effects.
A novelty effect occurs when performance temporarily ______ after launch.
crashes all servers
removes all variance
stays exactly flat
spikes or dips
A common mitigation is to include a ______ period before declaring a winner.
minification
washout
pixelation
cache‑busting
Ramping traffic gradually helps reduce novelty bias by exposing the variant to ______ segments over time.
only desktop
only bots
only returning
increasingly diverse
Analysts often examine ______ curves to separate durable lift from launch spikes.
DOM depth
cumulative conversion
hex colour
gzip ratio
If a new UI causes short‑term confusion, you may see a temporary ______ in task completion.
surge in CSS size
elimination of sessions
drop
increase in packet loss
Keeping a small holdout after rollout helps estimate whether gains are ______ over time.
sustained
monochrome
server‑side only
encrypted
For products with weekly usage, tests should run whole‑week multiples to avoid novelty interacting with ______ patterns.
GPU
day‑of‑week
EXIF
MAC address
Segmenting first‑time versus returning users helps quantify whether novelty effects are ______.
pixel‑bound
RGB‑only
cohort‑specific
lossless
A/B tests that restart buckets mid‑experiment can ______ novelty each time.
re‑trigger
eliminate
encrypt
minify
In dashboards, showing both daily and smoothed views (e.g., 7‑day average) helps distinguish novelty from random ______.
noise
fonts
file types
ports
Starter
You’re new to dealing with novelty effects. Revisit definitions, guardrails, and simple examples to build intuition.
Solid
Good understanding of dealing with novelty effects. Strengthen your analysis habits and pre‑registration discipline.
Expert!
Excellent command of dealing with novelty effects. You’re ready to operate at scale and mentor others.
