Business Problem Framing

    1

    Turn ambiguous or solution-first requests into bounded decisions, testable issue trees and prioritized evidence plans.

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    Business Problem Framing

    Example session with this skill installed

    Fictional training scenario; no real client data.

    Use $business-problem-framing to assess our director's request for an £80,000 CRM replacement. We have ten business days before the budget meeting. The director thinks falling sales conversion caused our margin decline.

    • F1, finance summary, year ended 2025: revenue £3.0m, included variable costs £1.2m, fixed costs £1.2m, operating profit £0.6m.
    • F2, same definitions, year ended 2026: revenue £3.0m, included variable costs £1.5m, fixed costs £1.2m, operating profit £0.3m.
    • F3, sales operations note: the lead definition changed midway through 2026; conversion rates have not been restated. Sales volume and realized-price/mix data are not supplied.
    • The CFO owns the budget decision. The director proposes a CRM; neither a recovery target nor permission to change the system has been agreed.
    • Read your context and instructions
    • Compiled the business problem framing
    • Generated the data export

    Fictional worked illustration from the public repository, not a recorded agent run or a verified client outcome. Any additional figures, thresholds and market signals are scenario assumptions, not observed results. No generated PDF or finished deck is included.

    Decision brief

    Status: provisional. By the budget meeting in ten business days, the CFO must choose whether to fund the CRM now, defer it for targeted diagnosis, or pursue a lower-cost operational response. The objective is to select a credible margin-recovery action, not to prove that a CRM is necessary. Target magnitude and investment hurdle require CFO agreement.

    The supplied accounting bridge shows a £0.3m profit decline entirely reconciled by the £0.3m rise in included variable costs. Operating margin fell from 20% to 10%. This does not prove that a CRM cannot help; it means conversion is not yet an evidenced explanation for the observed bridge. Constant total revenue also does not prove stable price, volume or mix.

    Boundary: the same business and two full financial years, using F1/F2 cost definitions. In scope: revenue/mix, delivery-cost bridge, metric-definition change and whether a CRM addresses a verified mechanism. Out of scope without approval: live migration, procurement commitments and a company-wide restructuring.

    Issue tree and competing hypotheses

    Operating profit change = revenue change − variable-cost change − fixed-cost change
    ├─ Revenue: volume × realized price, with product/customer mix reconciliation
    ├─ Variable costs: delivered activity × unit cost, with rework and service mix
    └─ Fixed costs: comparable classification and any exceptional items
    

    This identity reconciles the supplied totals. It does not guarantee complete operational causality; misclassification or unmatched periods must still be checked.

    HypothesisEvidence for / againstFalsification testOwner and deadlineDecision consequence
    Higher delivery cost or service mix caused the declineF2 cost bridge supports; no unit/mix detailMatch product/customer cohort and reconcile volume, rates, rework and allocations to the £0.3m changeFinance analyst + operations lead, day 4Prioritize cost/mix response if bridge is supported
    Conversion deterioration is material and CRM-relatedDirector's claim only; F3 breaks comparabilityRestate funnel denominator; inspect lost-deal reasons and CRM-related failures in comparable cohortsSales operations lead, day 5CRM remains an option only if a mechanism and benefit path emerge
    The decline is a classification or one-off effectNo evidence yetCheck accounting policy, cost transfers and exceptions across F1/F2Finance controller, day 3Restate baseline before investing against an artificial gap

    Recommendation and handoff

    Defer an unconditional CRM commitment while running the bounded diagnosis. This is a provisional recommendation, not CFO approval. Ask the CFO to agree the recovery objective, investment threshold and who can validate benefits on day 1.

    Stop expanding the analysis once the material bridge is reconciled and the CRM mechanism can be accepted or rejected against the agreed hurdle. If data remains incomparable by day 5, disclose the unresolved exposure and take a staged funding option to the meeting; do not fill the gap with a savings claim.

    Handoff: F1–F3, comparable metric definitions, reconciled bridge, rival hypotheses, unverified CRM benefits and remaining scope choices. Use these fields to prepare interviews or an executive decision memo.

    Editable starting files: decision brief and hypothesis plan.

    hypothesis-plan.csv

    CSV · data export

    Generated

    Example file from a real run - the skill writes it into your workspace.

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

    About this skill

    Turn a vague or solution-first request into a bounded decision before committing resources. Separate symptoms, claimed causes and proposed solutions; keep competing hypotheses and missing evidence visible.

    What you get

    SKILL.md, framing-method reference, editable Markdown decision brief, CSV hypothesis plan, agent metadata and MIT LICENSE.

    Primary deliverable: Decision brief, issue tree and hypothesis workplan.

    How to use

    Unzip the package into your compatible agent's skills folder. Ask the agent to use business-problem-framing and supply your decision, evidence and constraints. Review the result before acting on it.

    Open source and purchase transparency

    Version 1.1.0. The same skill is available free under the MIT license in Consulting Skills Lab. This optional $5 purchase supports the creator and provides the packaged download through Agensi; it is not exclusive content and does not include an AI-model subscription, hosted service, consulting engagement or guaranteed future support. The MIT license is included in the ZIP.

    Example and limits

    The listing demo is a fictional worked illustration, not a recorded agent benchmark or a real customer result. Read the public example.

    Framing is not proof that a solution works. Requires supplied evidence; does not establish causality, sponsor approval or realized savings. No hosted service or stakeholder outreach is included.

    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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