How 11x Saves 90 Hours Per Week And Discovers 100's of Issues With Decipher

11x, the leader in leader in Agentic Digital Workers for GTM, used Decipher to discover and prioritize issues

11x Saves 90 hours Per Week

Decipher saves 90 hours a week across engineering ane customer success. Less manual triage and investigating tickets and agent behavior.

11x Saves 90 hours Per Week

Decipher saves 90 hours a week across engineering ane customer success. Less manual triage and investigating tickets and agent behavior.

11x Saves 90 hours Per Week

Decipher saves 90 hours a week across engineering ane customer success. Less manual triage and investigating tickets and agent behavior.

11x Discovered 160+ Issues In Just Four Weeks

Over 160 users encountered UX friction, broken features, or error messages and were flagged before support tickets appeared

11x Discovered 160+ Issues In Just Four Weeks

Over 160 users encountered UX friction, broken features, or error messages and were flagged before support tickets appeared

11x Discovered 160+ Issues In Just Four Weeks

Over 160 users encountered UX friction, broken features, or error messages and were flagged before support tickets appeared

The Opportunity

With rapid growth and thousands of daily sessions, 11x’s product and engineering teams were sifting through thousands of sessions:


  • Tens of hours spent scrubbing replays still let critical bugs slip through

  • Support learned about issues before engineering, slowing releases and impacting customer satisfaction

  • Prioritization was guesswork without hard numbers on severity or customer impact


11x needed a way to see every failure the moment it happened — and know exactly which fixes would matter most.

The Solution

With Decipher, issues were detected in seconds, investigations cut to minutes, and the entire product team freed to focus on building rather than triaging.


Always-On Monitoring

11x leveraged Decipher's always on monitoring to shadows every customer session, log line, and UI event in real time. The moment something breaks or behaves unexpectedly, 11x sees it—no dashboards to babysit and no sampling gaps—so coverage is effectively total while team effort stays at zero.

Smart Alerts

The team setup Smart Alerts based on severity thresholds 11x cares about, meaning the team hears about genuine problems and isn’t drowned in noise. Critical bugs surface instantly; minor edge cases stay quiet.

Linear Integration

The 11x team used the one-click linear ticket feature to close the loop. From an issue, a pre-filled ticket—repro steps, severity rating, customer impact—is pushed straight to Linear. Handoff to engineering is instant and always contains the data needed to act.

All of this went live in under five minutes because Decipher AI slots into the existing stack.

The Results

Decipher AI turned days of manual investigation into minutes of confident action:


Issues now discovered in seconds — issues surfaced almost immediately after first occurrence


Prioritization made simple — automatic clustering grouped similar failures, revealing the biggest levers for quality gains


Improved proactive customer care — hot‑fixes shipped before many users even noticed the bug


Team velocity unlocked — engineers traded replay‑watching for feature‑building, while PMs prioritised with concrete impact data

The Outcome

Decipher AI fundamentally cut the discover → diagnose → fix cycle from days to hours:


  • Customers experience fewer blockers and faster resolutions

  • Product & engineering reclaim time

  • Roadmap decisions can now lean on quantified severity and account impact, not gut feel


With Decipher AI running silently in the background, 11x has now solidified its position as the leader in Agentic Digital Workers for GTM teams. The always‑on product‑intelligence approach frees engineering hours, surfaces the most impactful issues, and gives the team clear data to prioritize work and make better product decisions, keeping 11x ahead in the rapidly evolving digital workers landscape.