01
Search Console INP issues
Pages failing the Core Web Vitals assessment because interactions take longer than 200 ms.
Failing INP and UI freezes on interaction
Find the interactions that block the main thread, break up the long tasks behind them, and confirm the improvement in field INP data.
Symptoms
If several of these sound familiar, the plan below is where we would start.
01
Pages failing the Core Web Vitals assessment because interactions take longer than 200 ms.
02
Heavy synchronous event handlers blocking the next paint.
03
Typing into search boxes and forms feels delayed.
Remediation plan
Each phase ends with a measurement, so you can see what changed before the next one starts.
01
Recording interaction traces in Chrome DevTools to find long tasks (over 50 ms) during clicks and typing.
02
Splitting heavy synchronous work with scheduler.yield() so the browser can paint in between.
03
Marking heavy state updates as transitions so urgent visual feedback comes first.
04
Updating buttons and inputs immediately while background requests complete.
Technical checklist
What we check before a change goes to production:
We take a baseline first and report the same measurements after each change, from your own monitoring — evidence, not promised results.
Related service
Frontend engineering measured in field Core Web Vitals before and after, accessibility to WCAG AA, and replatforms shipped route by route with no freeze.
Explore Web & frontendQuestions
INP is the Core Web Vital for responsiveness: the time from a user's interaction (a click, tap or key press) until the next frame is painted. Google rates 200 ms or less at the 75th percentile as good.
startTransition marks state updates as non-urgent, so React can interrupt that rendering work to handle user input first.
Related playbooks
Find why consumers fall behind — hot partitions, slow downstream writes, poll timeouts — and fix it so they keep up with your normal load.
Prevent Redis memory exhaustion and key evictions: audit memory usage, set missing TTLs, use compact data structures and shard with Redis Cluster where needed.
Stop GraphQL resolvers from firing one query per item: batch with DataLoader, join where it's cheaper, and cap query depth and complexity.
Make video calls hold up on real networks: SFUs close to users, simulcast, TURN relays for restrictive firewalls, and quality metrics you can watch.
Send us the symptoms and any metrics you have. We'll reply within one business day, set up a call and agree what to measure before anything changes.