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    Consulting Discovery Coach — Ask Better Client Questions

    1

    Prepare focused client questions that uncover business problems, evidence gaps, constraints and decision criteria.

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    Consulting Discovery Coach — Ask Better Client Questions

    Consulting Discovery Coach — Ask Better Client Questions

    Example session with this skill installed

    Illustrative discovery: A client says “we need AI to speed up reporting.” I have a 30-minute first call with the operations lead. I know no baseline, systems, budget or approval path. Create a prioritized agenda with six questions, why each matters, evidence to request and follow-ups. Do not assume AI is the right solution or invent client answers.

    • Read your context and instructions
    • Compiled the consulting discovery coach

    First-call discovery plan

    Objective: understand the reporting problem and decision before selecting a solution. Current facts: the client requested AI and faster reporting; a 30-minute call with the operations lead is planned. The cause, baseline and feasible solution are unknown.

    Agenda

    0–3 minutes: confirm purpose and desired decision.
    3–12: examine one recent reporting cycle.
    12–20: identify bottlenecks and quality constraints.
    20–26: clarify stakeholders, access and approval path.
    26–30: summarize unknowns and agree a proportionate next step.

    QuestionWhy it mattersEvidence / follow-up
    Which report and decision should improve first?Bounds scope and business valueAsk for one sanitized report and its audience; if broad, choose one use case
    Walk me through the most recent cycle from input to approvalReveals actual handoffs rather than assumed causesRequest timestamps/process notes; clarify rework and waiting time
    Where does time go, and how was that measured?Separates measured friction from perceptionBaseline cycle time and effort; if unavailable, design lightweight measurement
    What errors or risks must the new process avoid?Defines quality and control constraintsReview criteria, corrections and approval requirements
    Who owns data, systems and final approval?Identifies perspectives and access boundariesStakeholder map; involve data owner and reviewer with authorization
    What would justify proceeding, and what constraints apply?Establishes decision criteria, timing and commercial limitsAsk permission before sensitive budget/security detail; allow refusal and use ranges if appropriate

    Questions to adapt after answers

    If waiting dominates, investigate handoffs and approvals before automation. If manual data preparation dominates, inspect source quality and repeatability. If writing dominates, test whether standardized templates or a controlled AI draft would help. These are branching hypotheses, not client facts.

    Minimum evidence request

    One sanitized example report, process steps, available timestamps, known correction themes and the approval requirements. Request only authorized material; no passwords or unrestricted system access.

    Call note structure

    Fact/source; stakeholder statement; hypothesis; constraint; decision criterion; open question; agreed action/owner/date. Keep “planned” separate from “agreed.”

    Close

    “Let me check that I understand the priority and remaining uncertainty. Would reviewing one reporting cycle and its evidence be a useful next step before recommending a tool?”
    No AI solution, fee, savings estimate or commitment is presumed. No client answers were invented, and no call was booked, message sent or record changed.

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

    About this skill

    Build a stronger foundation before proposing a solution

    Consulting Discovery Coach helps consultants, agencies and advisory teams prepare diagnostic conversations and synthesize supplied notes. It connects each question to an evidence need, appropriate stakeholder and useful follow-up.

    It supports problem framing, symptom-versus-cause separation, stakeholder perspectives, requirements discovery, opportunity qualification, decision-context mapping, workshop preparation and discovery-to-recommendation handoff. Outputs include prioritized agendas, question plans, note structures, hypotheses, evidence gaps and next actions.

    Tools and transcripts are optional. Without them, it works from supplied context and prepares manual artifacts. It never invents a client answer, meeting, approval, booking or CRM update. Sensitive questions explain relevance and allow refusal. It preserves qualified professional authority in high-stakes domains and avoids turning discovery into a disguised pitch.

    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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