One thing we’ve started realizing while building PSI Lynx is that most people don’t actually care about Lighthouse scores themselves. Nobody wakes up excited because their Performance score moved from 82 to 89.
What people care about is what happens to the business when website performance slowly degrades over time. Traffic starts slipping, mobile pages feel heavier, conversions quietly get worse, and after a few releases nobody fully understands what exactly caused the regression.
That’s why we’re starting to think the next step for PSI Lynx is not just monitoring performance, but helping explain problems.
Right now most teams still investigate regressions manually. They go through release logs, GTM changes, third-party scripts, Shopify apps, frontend updates, plugins, tracking tools, and random integrations trying to figure out where things started going wrong.
The more conversations we have with SEO teams and ecommerce companies, the more obvious it becomes that detecting regressions is only half the battle. Understanding the likely reason behind them is the part that can actually save teams serious time and money.
Performance scores are just the symptom. The harder problem is attribution. Detecting that something broke is useful, but understanding why it broke (new scripts, plugins, releases, third-party bloat, etc.) is where teams actually save time and protect revenue. Moving from monitoring → diagnosis feels like the more valuable layer.