Re: [Starlink] misery metrics & consequences

[Dave Collier-Brown <dave.collier-Brown@indexexchange.com>]

I love it:  older programs at work always reported number of timeouts vs
load.  I figured I'd rather have response time vs load, but I now see
why we report timeouts: they accurately track the number of miserable
customers (;-))

--dave

(I know some of the original authors: they're no dummies)

On 10/21/22 17:04, Dave Taht via Starlink wrote:
> One of the best talks I've ever seen on how to measure customer
> satisfaction properly just went up after the P99 Conference.
>
> It's called Misery Metrics.
>
> After going through a deep dive as to why and how we think and act on
> percentiles, bins, and other statistical methods as to how we use the
> web and internet are *so wrong* (well worth watching and thinking
> about if you are relying on or creating network metrics today), it
> then points to the real metrics that matter to users and the ultimate
> success of an internet business: Timeouts, retries, misses, failed
> queries, angry phone calls, abandoned shopping carts and loss of
> engagement.
>
> https://www.p99conf.io/session/misery-metrics-consequences/
>
> The ending advice was - don't aim to make a specific percentile
> acceptable, aim for an acceptable % of misery.
>
> I enjoyed the p99 conference more than any conference I've attended in years.
>
--
David Collier-Brown,         | Always do right. This will gratify
System Programmer and Author | some people and astonish the rest
dave.collier-brown@indexexchange.com |              -- Mark Twain


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