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P1 TICKET HANDLING
PROCESS
By Mohammad Ali
ali.connect@outlook.com
Process for handling Priority-1(P1) issues
Analyse
• Understand the Issue,
• Impact on Service,
• Act as end user / client
• Set a priority / SLA based
timeline
Resolve
• Organise Information
• Hypothesize resolution
• Escalate - Support team, Product
Team.
• Communicate Impact & progress
Systemize
• Root Cause Analysis
• Future Safety – how to avoid
• Recommendation for Dev or
Deployment
• Communicate client and internal
management
• First Response
• Assure that we respond as per our TTA (Time to Accept) SLA
• Client / User Experience
• Ascertain what steps are taken when this issue is encountered
• Environment
• Document which environment, endpoint, clients are facing this issue.
• Replicate
• Can we replicate the issue when following those steps?
• Is the issue specific to this Client or all Clients using service?
• Timeline
• Since when this issue has been encountered?
• Was there a recent change (release, update, migration etc)
• Resolution SLA
• Understand which SLA category this issue falls under
• Communicate commitment and timelines to Client
Analyse – Understand the issue
• Organise all the information that we have so far
• Clients message, our experiments, steps to reproduce, environment and so on
• Escalate (when necessary)
• Can this issue impact other clients? If so, alert them
• Support Team (internal)
• Summarize the issue, and next steps that we intend to take within the team
• Convey Impact of the issue & priority
• Hypothesize
• Is the error code & message documented in Service Documentation?
• Search support tickets & documentation for relevance
• Based on Service Knowledge, identify possible areas which are causing issue
Resolve – Step 1
• Assign
• Communicate finding to Product / Engineering team responsible for resolution
• Act as voice of customer – making sure fruitful initial investigation is conveyed &
understood.
• Report
• Report progress back to client
• This should be done on periodic basis, conveying progress
• Further Escalation
• If there is a blocker in Product team accepting / resolving issue, escalate to relevant
team’s management
• Also escalate within Support Team
• Acceptance Test
• Once Issue has been resolved, act as a client and test the resolution
• Test thoroughly for all known / replicable scenarios
• Provide sign off only if test is acceptable.
• Communicate back to client
• Communicate resolution back to client
• Communicate within team of resolution
Resolve – Step 2
• Root Cause Analysis
• Convey the RCA to the client whenever available (ideally by next scheduled meeting
• Future Safety
• Understand how can we avoid this issue from occurring in future
• Example: change in deployment process is required.
• Recommendation for Dev or Deployment
• Systemize your recommendation as Requirment
• Convey this to relevant Dev or Deployment Team
• Convince them to get a buy-in
• Ask for possible timelines
• Communicate client and internal management
• Share RCA & Recommendation internally
Systemize
By Mohammad Ali
ali.connect@outlook.com

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An overview of the process for handling enterprise client tickets

  • 1. P1 TICKET HANDLING PROCESS By Mohammad Ali ali.connect@outlook.com
  • 2. Process for handling Priority-1(P1) issues Analyse • Understand the Issue, • Impact on Service, • Act as end user / client • Set a priority / SLA based timeline Resolve • Organise Information • Hypothesize resolution • Escalate - Support team, Product Team. • Communicate Impact & progress Systemize • Root Cause Analysis • Future Safety – how to avoid • Recommendation for Dev or Deployment • Communicate client and internal management
  • 3. • First Response • Assure that we respond as per our TTA (Time to Accept) SLA • Client / User Experience • Ascertain what steps are taken when this issue is encountered • Environment • Document which environment, endpoint, clients are facing this issue. • Replicate • Can we replicate the issue when following those steps? • Is the issue specific to this Client or all Clients using service? • Timeline • Since when this issue has been encountered? • Was there a recent change (release, update, migration etc) • Resolution SLA • Understand which SLA category this issue falls under • Communicate commitment and timelines to Client Analyse – Understand the issue
  • 4. • Organise all the information that we have so far • Clients message, our experiments, steps to reproduce, environment and so on • Escalate (when necessary) • Can this issue impact other clients? If so, alert them • Support Team (internal) • Summarize the issue, and next steps that we intend to take within the team • Convey Impact of the issue & priority • Hypothesize • Is the error code & message documented in Service Documentation? • Search support tickets & documentation for relevance • Based on Service Knowledge, identify possible areas which are causing issue Resolve – Step 1
  • 5. • Assign • Communicate finding to Product / Engineering team responsible for resolution • Act as voice of customer – making sure fruitful initial investigation is conveyed & understood. • Report • Report progress back to client • This should be done on periodic basis, conveying progress • Further Escalation • If there is a blocker in Product team accepting / resolving issue, escalate to relevant team’s management • Also escalate within Support Team • Acceptance Test • Once Issue has been resolved, act as a client and test the resolution • Test thoroughly for all known / replicable scenarios • Provide sign off only if test is acceptable. • Communicate back to client • Communicate resolution back to client • Communicate within team of resolution Resolve – Step 2
  • 6. • Root Cause Analysis • Convey the RCA to the client whenever available (ideally by next scheduled meeting • Future Safety • Understand how can we avoid this issue from occurring in future • Example: change in deployment process is required. • Recommendation for Dev or Deployment • Systemize your recommendation as Requirment • Convey this to relevant Dev or Deployment Team • Convince them to get a buy-in • Ask for possible timelines • Communicate client and internal management • Share RCA & Recommendation internally Systemize