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    Make Faster Business Decisions — Decision Memo Pack

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    Unlike free "help me decide" prompts: a weighted scorecard with a do-nothing baseline, risk table, decision gates + 7/30/90-day plan.

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    Make Faster Business Decisions — Decision Memo Pack

    Make Faster Business Decisions — Decision Memo Pack

    Example session with this skill installed

    decision_question: Should we migrate our monorepo to microservices? audience: CTO and Engineering Leads options: Stay monorepo; Extract 2 core services; Full microservice migration criteria: Developer velocity, infra cost, complexity context: 20 devs, deployment bottlenecks growing evidence: Last month had 4 deploy failures due to merge conflicts. deadline: Q3 planning session risk_tolerance: balanced

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    I have drafted a decision memo regarding the potential migration from a monorepo to microservices based on your current deployment bottlenecks. # Decision memo: Monorepo vs. Microservices Migration **Decision question:** Should we migrate our monorepo to microservices? **Audience:** CTO and Engineering Leads **Decision deadline:** Q3 planning session **Context / horizon:** 20-person engineering team facing deployment bottlenecks; seeking balance between velocity and infra overhead. **Generated:** 2026-10-19 · Draft for human verification — not advice ## 1. Decision at a glance **Recommendation:** Extract 2 core services (Hybrid approach) **Confidence:** medium **Why:** A full migration introduces excessive infrastructure complexity for a 20-person team. Extracting the most congested services addresses the immediate deployment failures while limiting the operational tax. ## 2. Decision frame - Success conditions: Reduced deployment lead time, zero failures due to cross-team merge conflicts. - Constraints: Limited DevOps headcount to manage new infrastructure. - Assumptions: Current deployment failures are primarily caused by tight coupling, not build tooling. - What is in / out of scope: Infrastructure automation is in scope; rewriting frontend code is out of scope. ## 3. Options and scorecard | Option | Fit to criteria | Upside | Trade-offs | Evidence / confidence | |---|---|---|---|---| | Stay monorepo | Low | Zero infra cost increase | Continued bottlenecks | High / Deploy logs | | Extract 2 services | High | Targeted relief | Incremental complexity | Medium / Team size | | Full migration | Medium | Max autonomy | High infra overhead | Low / Tooling gaps | ## 4. Recommendation and decision gates The hybrid approach (Option 2) allows us to isolate the domains behind most of last month's 4 deploy failures without over-engineering the entire stack. We should proceed if the pilot service extraction reduces build times by >30%. **Gates:** 1. Successful PoC of inter-service communication. 2. Deployment failure rate remains below 1% for the new services. ## 5. Risks and dependencies | Risk / dependency | Severity | Early warning | Mitigation / owner | |---|---|---|---| | Increased latency | medium | P99 monitoring spikes | Implement gRPC | | Operational overhead | high | DevOps ticket backlog | Standardize CI/CD | ## 6. Action plan | When | Action | Owner | Success check / gate | |---|---|---|---| | Now | Audit logs to pick top 2 service candidates | Lead Dev | Candidates identified | | 7 days | Define service boundaries and API contracts | Architect | Documentation signed off | | 30 days | Deploy first service to staging | DevOps | Green CI/CD pipeline | | 90 days | Decommission original code in monorepo | Lead Dev | 0 calls to old path | ## 7. Open questions and source placeholders 1. [VERIFY: Actual cost of AWS Managed Prometheus for service monitoring.] 2. [SOURCE: Deployment failure logs from September — URL TBD] ## 8. Suggested next step Schedule a 30-minute technical review to select the two specific services for the pilot extraction based on recent deployment conflict data. **Next steps** - Review the scorecard to ensure the weights for "infra cost" align with the Q3 budget. - Replace the [SOURCE] placeholder with the link to your deployment logs. - Assign owners to the initial 7-day action items.

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    About this skill

    Unlike free "help me decide" prompts that pick an answer and back-fill reasons, this skill always scores a do-nothing option, labels the confidence of every piece of evidence, sets go/stop decision gates and leaves [VERIFY] slots instead of inventing numbers. Sample output (excerpt; input: 20-dev team, 4 deploy failures last month, options stay monorepo / extract 2 services / full microservices): Recommendation: Extract 2 core services (hybrid) · Confidence: medium | Option | Fit | Upside | Trade-off | Evidence / confidence | |---|---|---|---|---| | Stay monorepo (do nothing) | Low | No new infra cost | Bottlenecks continue | High / deploy logs | | Extract 2 services | High | Targeted relief | Some new complexity | Medium / team size | | Full migration | Medium | Max team autonomy | Heavy infra overhead | Low / tooling gaps | Decision gates: proceed only if the pilot service cuts build time by more than 30% and its deploy failure rate stays under 1%. | When | Action | Owner | Gate | |---|---|---|---| | 7 days | Define service boundaries + API contracts | Architect | Docs signed off | | 30 days | First service live in staging | DevOps | Green CI/CD | | 90 days | Remove old code path from monorepo | Lead Dev | 0 calls to old path | Open questions: [VERIFY: monitoring cost per service] · [SOURCE: September deploy failure logs] You get 8 fixed sections every time: decision at a glance, decision frame, options scorecard, recommendation + gates, risks with early warnings, action plan, open questions, next step. Works in Claude Code, Cursor and Codex · no invented stats or ROI · v1.0, updated Oct 2026 · questions answered via Agensi messages within 24h · More Cygnix Labs tools: https://apify.com/cygnix_labs Business decisions often stall due to messy evidence and unclear trade-offs. This skill converts raw notes and conflicting options into a structured decision memo that helps stakeholders choose a path and begin execution. ## What it does - **Frames decisions** by clarifying success conditions, constraints, and underlying assumptions. - **Scores options** using a comparative matrix that weighs pros, cons, and evidence confidence levels. - **Identifies risks** by mapping potential failure points to specific early warning signs and mitigations. - **Generates action plans** with structured 7, 30, and 90-day milestones to move from choice to implementation. - **Flags gaps** by explicitly listing open questions and data points that require human verification or sourcing. ## How it works 1. **Define the inputs** by providing the decision question, intended audience, and at least two available options. 2. **Review the draft** as the skill structures your evidence into a scorecard and recommendation. 3. **Verify placeholders** by replacing bracketed source tags with actual data or internal documentation. ## Frameworks & tools This skill uses standard Markdown for document structure and is designed for use in environments like Claude Code, Cursor, or ChatGPT. ## Why this beats prompting it yourself Writing decision memos from scratch often leads to confirmation bias or missing risk factors. This skill enforces a consistent, objective evaluation framework that separates facts from inferences, ensuring you never skip the "do nothing" option or fail to define decision gates. ## Use cases - **Build vs. Buy** evaluations for new engineering tools or infrastructure. - **Product prioritisation** memos for deciding which feature to pilot next quarter. - **Vendor selection** reports comparing different service providers against cost and fit. - **Go/No-go assessments** for market entry or new project launches. ## Known limitations Does not provide regulated advice for legal, medical, tax, or investment decisions. Requires a human to provide core evidence as it cannot access private internal metrics or live market data.

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