I like to classify what to prioritise by how many standard deviations from the happy path a certain issue is.
For example, I’m working on a pay-as-you-go SaaS - so the probability of using the SaaS while your account balance is low is 1-SD away from the happy path.
Figuring out if the user has JavaScript enabled (SaaS is an SPA) would mean the user first signed up with JavaScript enabled, then disabled it. Id put it at 3-SD away from the happy path.
Keep doing this and work on the bugs nearest to the happy path.
Of course, the 1-SD, 3-SD estimates are just hunches.
For example, I’m working on a pay-as-you-go SaaS - so the probability of using the SaaS while your account balance is low is 1-SD away from the happy path.
Figuring out if the user has JavaScript enabled (SaaS is an SPA) would mean the user first signed up with JavaScript enabled, then disabled it. Id put it at 3-SD away from the happy path.
Keep doing this and work on the bugs nearest to the happy path.
Of course, the 1-SD, 3-SD estimates are just hunches.