How do I decide what to fix first?

Anchor on data, not instinct: rank issues by how many players each affects, weigh that reach against severity (a progress-losing crash outranks a cosmetic glitch even if fewer hit it), and let those numbers override whoever complained loudest. Data-driven prioritisation puts your limited time consistently where it helps most.

Why shouldn't I just fix whatever players complain about most loudly?

Because complaint volume reflects who's vocal, not how many are affected. A single persistent player can make a minor issue feel urgent while a quiet crash hits thousands. Anchoring decisions on actual impact data, how many players hit each issue, corrects that bias and keeps your effort on high-value work.

How do I weigh severity against how many players are affected?

Consider both: reach (how many hit it) and severity (how bad it is for them). A crash that loses progress for a hundred players can outrank a cosmetic glitch seen by a thousand. Distinguishing crashes from minor reports and seeing each issue's context lets you combine the two into a sound priority.

How to Improve Your Decision-Making on What to Fix

Quick answer: Deciding what to fix should be driven by impact data, not gut feeling or whoever complained loudest. Rank issues by how many players each affects, weigh severity, and let the numbers, not the noise, guide where your limited time goes.

With limited time, deciding what to fix is one of your most consequential repeated decisions, and it's easy to get wrong by following instinct or the loudest voice. Improving it means anchoring on data: how many players, how severe, so your effort consistently lands where it helps most.

Anchor on How Many Players Are Affected

The most reliable input for what-to-fix decisions is reach: how many players actually hit each issue. A bug affecting thousands almost always outranks one affecting a handful, yet without data the rare-but-vivid bug often wins your attention. Counting affected players keeps decisions grounded.

Bugnet counts how many players each grouped issue affects, so reach is a number you can see, not a guess. Anchoring decisions on real reach is the foundation of fixing the right things.

Weigh Severity Alongside Reach

Reach isn't everything, a crash that loses progress for a hundred players may outrank a cosmetic glitch seen by a thousand. Good decisions weigh severity (how bad the impact is) alongside reach (how many), so a crash-and-data-loss issue gets the priority it deserves.

Bugnet distinguishes crashes from lesser reports and shows the context of each, so you can factor severity into the ranking, not just raw counts. Combining reach and severity is what makes a prioritisation decision sound.

Let Data Override the Loudest Voice

The most common decision-making failure is reacting to whoever complained most loudly rather than what affects the most players. A single vocal player can pull your attention to a minor issue. Letting impact data, not volume of complaint, drive decisions corrects that bias.

Bugnet shows you the real distribution of impact, so you can see when a loud complaint represents a rare issue. Improving what-to-fix decisions is anchoring on reach, weighing severity, and letting data override noise, so your limited time consistently goes to the highest-value fixes.

Fix-decisions should follow impact data, not instinct or loudness. Rank by how many players are affected, weigh severity, and let data override noise.