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Quantify and communicate tech debt as a business decision. Use when engineering needs investment in infrastructure and you need to make the case to leadership.
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Quantify and communicate tech debt as a business decision. Use when engineering needs investment in infrastructure and you need to make the case to leadership.
name: tech-debt-communication description: Quantify and communicate tech debt as a business decision. Use when engineering needs investment in infrastructure and you need to make the case to leadership.
Translate technical debt into business language in 2-4 hours. Claude helps quantify impact, structure the investment case, and generate scenario models. You provide the engineering partnership, stakeholder context, and the judgment to frame it as a business decision, not a technical one.
| Step | Time | Claude Does | You Do | |---|---|---|---| | Understand the debt | 30 min | Structure the information from engineering | Partner with engineering to understand scope | | Quantify business impact | 1 hr | Model velocity cost, incident risk, opportunity cost | Validate with engineering, add user context | | Frame the decision | 1 hr | Draft the investment case as a business trade-off | Add stakeholder context, political awareness | | Build scenarios | 30 min | Model invest-now vs. defer scenarios | Choose the framing that fits your audience | | Present | 30 min | Format for target audience | Deliver with conviction and handle questions |
Partner with your engineering lead. This step is a conversation, not a document.
I need to understand and communicate tech debt to non-technical stakeholders. Help me structure what I've learned from engineering: The debt: [what engineering described — outdated systems, scaling limits, testing gaps, dependency risks, architecture constraints] Help me categorize: 1. What type of debt is this? - Deliberate (we chose speed over quality knowingly) - Accidental (we didn't know better at the time) - Environmental (the world changed — new scale, new requirements) 2. What's the blast radius? - Which systems, features, or teams are affected? 3. What's the trajectory? - Is this stable (bad but not getting worse)? - Compounding (getting worse over time)? - Time-bombed (will fail at a known threshold)?
Non-technical stakeholders don't care about code quality. They care about velocity, risk, and cost.
Help me quantify the business impact of this tech debt: Velocity impact: - How much slower is development in the affected area? [engineering's estimate] - What features are delayed or blocked by this debt? - What's the cost of that delay? (Use Cost of Delay: revenue, competitive position, user impact per week of delay) Risk impact: - What's the probability of an incident caused by this debt? [engineering's assessment] - What's the cost of that incident? (Downtime × revenue impact, customer trust, support load) - Have we already had incidents? [history] Opportunity cost: - What could the team build if they weren't working around this debt? - What new capabilities does addressing the debt unlock? - What becomes possible that's currently impossible? Model the total cost of inaction over 6 and 12 months.
The goal is to present this as a resource allocation decision with clear trade-offs — not as "engineering wants to refactor."
Draft an investment case for addressing this tech debt. Structure as a business decision, not a technical request: 1. The business problem: [velocity/risk/opportunity framed in business terms] 2. Options: a. Invest now: [scope, timeline, team cost, what we defer] b. Invest later: [what we accept in the meantime, how cost grows] c. Don't invest: [projected impact over 6-12 months] 3. Recommendation: [which option and why] 4. What we get: [concrete outcomes — faster delivery, reduced incidents, new capabilities] 5. What it costs: [engineering weeks, features we delay, timeline] 6. What happens if we don't: [quantified cost of inaction] Audience: [executive team / product leadership / board — adjust tone accordingly]
Model two scenarios for this tech debt decision: Scenario A — Invest Now: - Investment: [X engineering weeks] - Features deferred: [list with estimated delay] - Expected outcome: [velocity improvement, risk reduction, capabilities unlocked] - Break-even: [when the velocity gain pays back the investment] Scenario B — Defer 6 Months: - Continued velocity drag: [X% slower in affected area] - Incident probability: [estimated, with cost per incident] - Growing scope: [how much more work it becomes to address later] - Features at risk: [what becomes harder or impossible] Present as a table comparing both scenarios across: cost, velocity, risk, and timeline.
Format the investment case for [audience]: For executive leadership: - Lead with the business metric at risk - Show the cost of inaction in dollars or velocity percentage - Present options as a trade-off, not a request - End with a clear ask and timeline For product leadership: - Lead with the roadmap impact - Show which features are affected and by how much - Present the opportunity cost — what we could build if this was resolved - End with a proposed allocation (e.g., "20% of next quarter's capacity")
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