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Management: Technology, Data & AI

Managing Software Teams: Delivery, Quality and Tech Debt

Software & Engineering Management: leave with an engineering metrics dashboard, tech-debt register and a build-vs-buy decision template.

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Ajay Prajapat

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Ajay Prajapat

AI Educator · Engineer · innovatewithajay.com

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TechlyUpMANAGEMENT: TECHNOLOGY, DATA & AIManagingSoftware Teams:Delivery,Quality and TechDebtFREE WEBINAR TOPIC · VOTE

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What this session would cover

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  1. 1Why software & engineering management matters — the common problem: Engineering progress is judged by busyness, and technical debt grows unseen.
  2. 2Core concepts in plain language: Engineering strategy, team structures, engineering hiring, development processes, estimation, delivery planning
  3. 3Going further: engineering quality, code review, technical debt, architecture governance, release management, development operations
  4. 4Framework walkthrough: RACI, Risk Matrix, PDCA
  5. 5Practical workflow, built live: An engineering metrics dashboard, tech-debt register and a build-vs-buy decision template.
  6. 6How to measure it: Availability, Incident frequency, Recovery time, Change failure rate, Technology cost
  7. 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation

Who it's for

  • • IT managers and tech leads
  • • Business owners making technology decisions
  • • Operations teams adopting AI and automation

You'd leave with

  • An engineering metrics dashboard, tech-debt register and a build-vs-buy decision template.
  • A working understanding of RACI and Risk Matrix
  • A short list of measures to track: Availability, Incident frequency, Recovery time