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    Business Strategy Decision Architect Skill

    1

    Turn business data and constraints into rigorous strategic options, risk-managed scenarios, and execution roadmaps.

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    Business Strategy Decision Architect Skill

    Business Strategy Decision Architect Skill

    Example session with this skill installed

    Our SaaS churn rose from 2% to 5% last quarter. We have $200k budget and 3 engineers. Should we build a new 'Pro' tier or focus entirely on retention tools? Here is our current usage data...

    • Read your context and instructions
    • Compiled the business strategy decision

    I have analyzed the churn data and resource constraints. The 150% increase in churn is primarily linked to the 'Team' segment losing activity in month 3. Given your 3-engineer capacity, a 'Pro' tier introduces high technical debt risks compared to targeted retention automation.

    Business Strategy Decision Brief

    1. Decision to Make

    Decision: Choose between launching a 'Pro' tier or building retention features.
    Objective: Reduce churn below 3% within 6 months.
    Constraints: $200k budget, 3 engineers, 6-month runway.

    2. Evidence & Current-State Diagnosis

    • Fact: Churn rose from 2% to 5% in Q3.
    • Driver: Data shows a 40% drop in login frequency for 'Team' users before cancellation.
    • Constraint: Current engineering velocity is 2 major story points per week; a 'Pro' tier requires 24 points.

    3. Strategic Options

    OptionStrategic ThesisBenefitsTrade-offs
    Retention AutomationSolve the month 3 activity drop via automated re-engagement tools.Fast ROI, low dev cost.Doesn't increase ARPU.
    Pro Tier LaunchIncrease ARPU to offset churn losses by targeting power users.Higher LTV.High dev risk, high complexity.

    4. Comparison & Recommendation

    Recommendation: Focus on Retention Automation.
    The decision matrix scores this 9/10 on feasibility and 8/10 on time-to-value, whereas the Pro Tier scores 4/10 on feasibility due to the small 3-person engineering team.

    Next steps

    1. Audit the last 50 churned 'Team' accounts to identify the specific feature gap in month 3.
    2. Prototype an automated in-app "usage tip" trigger for accounts with >3 days of inactivity.
    3. Set a 'stop-loss' gate: if churn doesn't drop to 4% by month 2, re-evaluate the Pro tier.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Strategic decisions often stall due to vague goals, missing data, or hidden assumptions. This skill acts as a rigorous strategy advisor, transforming raw business data and constraints into defensible options and execution roadmaps. It forces clarity by separating verified facts from estimates and identifying exactly what must be true for a strategy to succeed.

    What it does

    • Define decisions by reframing broad goals into specific, constrained decision statements.
    • Diagnose current state using revenue trends, margins, customer retention, and operational bottlenecks.
    • Generate strategic options with distinct theses, resource requirements, and specific trade-offs.
    • Prioritize with matrices using weighted criteria like time-to-value, feasibility, and downside risk.
    • Build execution plans with phased actions, success metrics, and explicit decision gates.

    How it works

    1. Input business context including current metrics, constraints, and the specific decision at hand.
    2. Review the evidence base to separate user facts from necessary assumptions and identify data gaps.
    3. Evaluate scenarios by comparing distinct strategic paths and their respective risk profiles.
    4. Generate the Decision Brief which provides the recommendation, roadmap, and KPI scorecard.

    Frameworks & tools

    This skill utilizes standard strategic frameworks including SWOT analysis, decision matrices, scenario planning, and KPI modeling. It is designed to work with data from CRM, ERP, and financial reporting systems provided by the user.

    Why this beats prompting it yourself

    Standard prompts often produce generic, motivational "fluff" or invent plausible-sounding but fake market data. This skill enforces rigorous evidence-based reasoning, explicitly labels all assumptions, and identifies the exact evidence that would invalidate a recommendation.

    Use cases

    • Market expansion to decide between deepening a current segment or entering a new one.
    • Product prioritization when choosing which features or lines to fund under tight cash constraints.
    • Operational turnaround to identify bottlenecks and build a 90-day execution roadmap.
    • Risk mitigation for high-stakes pivots where downside scenarios must be modeled.

    Known limitations

    Does not provide regulated legal, tax, or investment advice. Cannot access real-time market data unless the user provides the specific sources or text for analysis.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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