Methods, systems, and devices for webpage diagnostics

A computer-implemented method comprising:

• determining, by a diagnostics platform and from a client computing platform, a first time series indicative of one or more performance metrics at the client computing platform;
• detecting, by the diagnostics platform and based on the first time series, an occurrence of a particular anomaly at a particular time in a performance of the client computing platform;
• determining, in response to the detecting and based on a second time series indicative of user activity associated with a user of the client computing platform, whether the particular anomaly caused a change in user intent of the user to perform a particular activity at the client computing platform at the particular time;
• based upon a determination that the particular anomaly caused the change in user intent, determining, by the diagnostics platform and for the particular anomaly, an estimated loss of a client resource at the client computing platform;
• and
• displaying, by a graphical user interface of the diagnostics platform, a graphical representation of the particular anomaly and the estimated loss.

One or more non-transitory computer-readable media storing software comprising instructions executable by one or more processors that, upon such execution, cause the one or more processors to perform operations comprising:

• receiving, by a diagnostics platform and from a client computing platform, a first plurality of time-indexed data packets indicative of user activity associated with a user of the client computing platform;
• receiving, by the diagnostics platform and from the client computing platform, a second plurality of time-indexed data packets indicative of one or more anomalies at the client computing platform;
• comparing, by the diagnostics platform, the first and second plurality of time-indexed data packets to determine whether a particular anomaly caused a change in user intent of the user to perform a particular activity at the client computing platform;
• based upon a determination that the particular anomaly caused the change in user intent, determining, by the diagnostics platform and for the particular anomaly, an estimated loss of a client resource at the client computing platform;
• and
• displaying, by a graphical user interface of the diagnostics platform, a graphical representation of the particular anomaly and the estimated loss.