Commercial Due Diligence Sprint

    1

    Turn an investment question into a focused commercial diligence sprint with hypotheses, evidence standards, and kill criteria.

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    Commercial Due Diligence Sprint

    Example session with this skill installed

    Fictional training scenario; no real client data.

    Use $commercial-due-diligence-sprint to frame a ten-day diligence of a £70m-revenue vertical SaaS target serving UK dental groups. The thesis is 20% growth through multi-site expansion. We have management data but no customer interviews yet.

    • Read your context and instructions
    • Compiled the commercial due diligence

    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.

    Sample output

    Provisional answer

    Continue diligence, but do not underwrite 20% growth until site-level retention, group rollout behavior, and implementation capacity are validated. The most decision-sensitive question is whether signed groups convert additional sites fast enough to offset mature-site saturation.

    Critical hypotheses

    HypothesisMinimum evidenceStatusDeal implication
    Multi-site rollout sustains growthCohorts by group, contracted sites, activated sites, and time to rolloutMissingCould reduce growth case and valuation
    Product is embedded enough to retainGRR/NRR by cohort plus 8–10 customer interviewsDirectionalDetermines downside resilience
    Implementation can support growthBacklog, time-to-live, staffing, and churn during onboardingMissingMay require investment and slower plan
    Pricing has headroomDiscount history, renewal uplift, win/loss interviewsUnconfirmedPotential upside, not base case

    Ten-day workplan

    • Days 0–2: reconcile recurring revenue, sites, customers, and cohort definitions; issue data request.
    • Days 2–6: analyze cohorts and pipeline; complete 10 customers, 5 lost prospects, and 4 expert calls.
    • Days 5–8: test competitors, pricing, implementation capacity, and downside scenarios.
    • Days 8–10: synthesize IC memo, valuation sensitivities, red flags, and post-close priorities.

    Kill criteria

    • Mature-cohort gross retention below 85% without a fixable cause.
    • More than 30% of forecast growth depends on unsigned sites inside existing groups.
    • Implementation capacity cannot support the base plan within the required investment envelope.
    • Revenue or site definitions cannot be reconciled to billing data.

    IC decision gate

    Revisit price if normalized growth falls below 12%, if net retention is below 100%, or if incremental implementation investment reduces the target return below the fund hurdle.

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

    About this skill

    Turn an investment question into a focused diligence sprint. Map critical hypotheses, minimum evidence, red flags, kill criteria and the findings that could change the commercial thesis.

    What you get

    SKILL.md, diligence-workplan and red-flag references, agent metadata and MIT LICENSE.

    Primary deliverable: Diligence issue tree and IC-ready synthesis.

    How to use

    Unzip the package into your compatible agent's skills folder. Ask the agent to use commercial-due-diligence-sprint 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.

    Analytical support, not regulated investment, legal, tax or valuation advice. Does not provide paid databases, conduct interviews or independently verify management projections. Investment judgments remain provisional where evidence is missing.

    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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