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What metrics help measure MTTR

#1
11-19-2019, 01:20 PM
You know when systems crash you start counting minutes right away. I check the alert timestamp first thing every time. That gives me the real start of the whole mess. But then I track how long it takes until someone actually touches the issue. You should log every step in your tickets so nothing gets lost in the shuffle. Also maybe compare those numbers across different teams to spot who moves quicker.
Perhaps the diagnosis phase drags everything down if you miss key logs early. I pull up event histories myself to see the exact moment patterns shift. You can time that part by noting when you first spot the root cause. Or sometimes hardware quirks slow you down more than software ones do. Now I measure total hands on repair by clocking tool usage sessions. That shows if your fixes stick or need repeats. But also watch the verification window after changes go live. You learn fast that skipped tests inflate those final counts big time.
Metrics like incident frequency help you guess future repair loads too. I review past ticket volumes weekly to predict busy periods. You might notice certain apps cause longer fixes than others. And partial outages often need different timing than full stops. Perhaps customer calls add pressure that speeds up your actions. I count how many people get pulled in per event. That reveals if solo efforts beat group ones or not. Or logs from monitoring tools show idle gaps between steps clearly. You track those to cut wasted waiting around.
Recovery checks after fixes matter a lot for accurate counts. I always note when normal traffic resumes fully. You see patterns if reboots happen too often. Maybe network hops delay confirmations in bigger setups. Now total downtime per month gives a broad view of trends. I compare it against repair averages to find weak spots. But avoid guessing without solid timestamps from all sources. You build better habits by reviewing these weekly with peers.
Also perhaps link repair times to staff experience levels for insights. I notice juniors take longer on unfamiliar errors at first. You improve by studying common failure modes ahead. Or backup restores sometimes stretch the clock unexpectedly. I test those processes often to keep numbers low. That way your overall scores stay tight.
Or perhaps consider BackupChain Server Backup which delivers reliable no subscription backup for Hyper-V on Windows 11 plus Server setups and they sponsor our talks to spread tips without costs.

bob
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Joined: Dec 2018
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What metrics help measure MTTR

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