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Sprint Planning in Application Management

Sprint Planning in Application Management

$248.00
How you learn:
Self-paced • Lifetime updates
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Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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What does the Sprint Planning in Application Management course cover?

Sprint Planning in Application Management is covered here in 8 modules: Defining Scope and Objectives for Application Management Sprints, Stakeholder Engagement and Backlog Prioritization, Resource Allocation and Team Capacity Planning and 5 more. The outline lists 48 specific topics, opening with determine which components of the application lifecycle (e.g., patching, monitoring, incident response) will be included in sprint scope based on SLA.

How do you approach Sprint Planning in Application Management step by step?

The work is sequenced in 8 stages. It starts with Defining Scope and Objectives for Application Management Sprints, moves through Stakeholder Engagement and Backlog Prioritization and Resource Allocation and Team Capacity Planning, and ends at Scaling Sprint Practices Across Application Portfolios. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Sprint Planning in Application Management course?

Module 1 is Defining Scope and Objectives for Application Management Sprints. It works through determine which components of the application lifecycle (e.g., patching, monitoring, incident response) will be included in sprint scope based on SLA requirements and team capacity., negotiate sprint goals with operations and development stakeholders when application changes impact both supportability and feature delivery., classify technical debt items (e.g., log.

How is the Sprint Planning in Application Management course delivered?

The Sprint Planning in Application Management course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Sprint Planning in Application Management course cost?

The Sprint Planning in Application Management course is $251 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Sprint Planning Toolkit, Agile Sprint Planning in DevOps, Sprint Planning in Agile Project Management, Sprint Planning in Software Development Dataset.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the equivalent of a multi-workshop operational rhythm used to align application management teams on sprint planning, covering the same scope as an internal capability program for integrating change control, capacity planning, and cross-team coordination across complex, compliance-sensitive environments.

Module 1: Defining Scope and Objectives for Application Management Sprints

  • Determine which components of the application lifecycle (e.g., patching, monitoring, incident response) will be included in sprint scope based on SLA requirements and team capacity.
  • Negotiate sprint goals with operations and development stakeholders when application changes impact both supportability and feature delivery.
  • Classify technical debt items (e.g., log retention configuration, outdated dependencies) as sprint backlog candidates using risk-severity matrices.
  • Decide whether to include production hotfix validation in sprint planning or manage it through a separate change control process.
  • Align sprint objectives with compliance cycles (e.g., SOX, HIPAA) when audit-critical controls require periodic verification.
  • Exclude non-repetitive, one-off infrastructure migrations from recurring sprints and assign them to dedicated project timelines.

Module 2: Stakeholder Engagement and Backlog Prioritization

  • Facilitate triage sessions with service desk leads to elevate recurring incident patterns (e.g., memory leaks in middleware) into the sprint backlog.
  • Apply weighted scoring models to balance infrastructure upgrades (e.g., Java version updates) against user-facing performance improvements.
  • Reject feature requests from business units that conflict with application supportability standards (e.g., unsupported browser configurations).
  • Coordinate with security teams to schedule vulnerability remediation tasks without disrupting planned release windows.
  • Document rationale for deprioritizing high-visibility but low-impact requests (e.g., UI tweaks) when system stability is at risk.
  • Integrate feedback from post-incident reviews into backlog refinement to prevent recurrence of operational failures.

Module 3: Resource Allocation and Team Capacity Planning

  • Adjust sprint capacity downward when on-call duties or production outages consume more than 20% of team availability.
  • Assign subject matter experts to high-risk tasks (e.g., database schema changes) while ensuring cross-training to reduce bus factor.
  • Balance allocation between proactive tasks (e.g., performance tuning) and reactive work (e.g., escalation support) using historical workload data.
  • Decide whether to staff sprints with embedded vendor resources for niche platforms (e.g., mainframe batch processing).
  • Factor in planned leave and regional holidays when estimating team velocity for global application support teams.
  • Reassign sprint tasks mid-cycle when a team member transitions roles or leaves the organization.

Module 4: Integration of Change Management and Release Controls

  • Map sprint deliverables to ITIL change types (standard, normal, emergency) and adjust approval workflows accordingly.
  • Delay inclusion of high-impact configuration changes (e.g., firewall rule updates) in sprints until CAB review is scheduled.
  • Coordinate with release managers to align sprint end dates with maintenance windows for critical production systems.
  • Document rollback procedures for every sprint-deployed change, including data migration reversals and config reverts.
  • Enforce peer review requirements for change implementation scripts, even during time-constrained sprints.
  • Log all sprint-related changes in the CMDB with accurate RFC references and relationship mappings to CIs.

Module 5: Sprint Execution and Operational Discipline

  • Enforce timeboxing during daily standups to prevent operational firefighting from derailing sprint focus.
  • Update task status in the sprint backlog only after verification in a staging environment, not upon development completion.
  • Escalate blockers related to third-party vendor delays (e.g., patch availability) to procurement and contract managers.
  • Conduct mid-sprint validation of monitoring coverage for implemented changes to ensure observability at go-live.
  • Restrict deployment to production outside of approved change windows, even if sprint tasks are technically complete.
  • Log all deviations from sprint plan in a runbook for audit and retrospective analysis.

Module 6: Monitoring, Validation, and Feedback Integration

  • Define success metrics for each sprint task (e.g., reduced incident volume, improved response time) and validate post-deployment.
  • Configure synthetic transactions to verify functionality of critical user journeys after sprint deployments.
  • Correlate sprint release timestamps with alert spikes in monitoring tools to identify unintended side effects.
  • Integrate APM tool data into sprint reviews to assess performance impact of configuration or code changes.
  • Require log entry standardization as a completion criterion for all automation scripts developed in sprint.
  • Trigger automated health checks immediately after deployment and pause rollout if error rates exceed thresholds.

Module 7: Retrospective Analysis and Continuous Improvement

  • Quantify sprint goal achievement rate over three-month intervals to assess planning accuracy and team reliability.
  • Identify recurring blockers (e.g., environment provisioning delays) and initiate process improvement initiatives outside sprint cycles.
  • Compare estimated vs. actual effort for high-variance tasks (e.g., log aggregation setup) to refine future planning.
  • Document lessons from failed rollbacks and update runbooks before the next sprint begins.
  • Rotate retrospective facilitation among team members to reduce bias and increase participation.
  • Archive completed sprint artifacts in a structured repository to support compliance audits and knowledge transfer.

Module 8: Scaling Sprint Practices Across Application Portfolios

  • Establish separate sprint schedules for applications with differing release cadences (e.g., monthly vs. quarterly).
  • Design shared service sprints for cross-application concerns like logging standardization or SSO integration.
  • Implement portfolio-level backlog grooming to prevent conflicting changes across interdependent systems.
  • Assign dedicated integration testers to validate interactions between components updated in parallel sprints.
  • Use dependency mapping tools to sequence sprints when application A requires a library update from application B.
  • Enforce consistent sprint documentation standards across teams to enable centralized reporting and governance.
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