Qbr Prep

作者 Zoominfod07402feb2b9无许可证收录于 2026年10月8日更新于 2026年10月8日

Assemble a QBR prep pack for a business review — value moments, usage and adoption themes, risks, and open items, with a deal and relationship snapshot. Combines account_research for the account picture with conversation_intelligence over recent calls (scoped to individual engagements) for what the customer actually said. Identify the account by ZoomInfo company ID (preferred) or name/domain (triggers a lookup). Use when someone says "prep me for the Acme QBR", "build a QBR pack", "what should I cover in the business review", or needs a review-ready summary. Evidence-based: value moments, themes, and risks come from the conversations and CRM, not from assumption.

AI 生成的概览

根据客户调研与近期客户对话,生成季度业务回顾(QBR)准备材料。

功能
该技能为业务回顾构建 QBR 准备包,涵盖交易与关系快照、客户实际认可的价值时刻、使用与采用主题、风险与未决事项,以及建议的回顾重点。它通过 ZoomInfo 公司 ID 或名称/域名定位客户,运行 account_research 获取客户全貌,并对近期若干会议运行 conversation_intelligence 以获取客户实际表达的内容。输出为带来源、以证据为基础的结构化摘要;若无对话数据,则仅提供客户快照并标明缺口。
适用场景
当有人要求为某个客户的季度业务回顾做准备、希望构建 QBR 准备包,或需要一份关于价值、主题与风险的回顾就绪摘要时使用。它适用于以客户为对象的回顾,且应以对话与 CRM 证据支撑叙述。
运行要求
需要 account_research、conversation_intelligence、browse_engagements 和 search_companies 能力,需要有效的日历或会议集成,以及至少一个已连接的会议或邮件来源。account_research 与 conversation_intelligence 会消耗 AI 额度,conversation_intelligence 每次调用最低约消耗九个额度。该技能不附带脚本,仅为指令。

QBR Prep Pack

Everything to walk into a quarterly business review: what value landed, what the customer has been raising, where the risks are, and what to cover.

Prerequisites

account_research and conversation_intelligence consume AI credits (CI is a minimum ~9 per call), and this skill runs account_research plus CI once per key engagement, so it can be credit-heavy. browse_engagements (to find the calls) is free but requires an active calendar/meeting integration; conversation_intelligence requires at least one connected meeting or email source. If no conversation data exists, build the pack from account_research and flag that value moments and themes could not be drawn from conversations, pointing the user to their ZoomInfo admin.

Input

Provided via $ARGUMENTS:

  • Account (required) — ZoomInfo company ID (preferred), or a name/domain to resolve via search_companies.
  • Review scope (optional) — the period being reviewed and the QBR's goal (renewal runway, expansion, adoption push). Shapes what to foreground; ask if it materially changes the pack and was not provided.

Workflow

  1. Resolve the account. If no account was supplied, ask the user which one before proceeding. Use the ZoomInfo ID directly, or resolve a name/domain via search_companies.
  2. Snapshot the account. Run account_research for the deal/relationship picture, stakeholders, and recent firmographic/news context. This frames the review.
  3. Read recent calls. Call browse_engagements (account-scoped, engagementType: MEETINGS, sort: -chronological) and pick the few most relevant recent calls (typically the last 2-4 — each gets its own CI call, which costs credits). Run conversation_intelligence scoped to each engagement ID (one call per engagement) for value moments the customer voiced, usage and adoption themes they raised, risks and concerns, and open items. Keep each query to its single engagement; CI sees only the last few engagements and cannot topic-search or count.
  4. Assemble the pack. Synthesize into a review-ready structure. Ground value moments and risks in specific conversations or CRM context with sources; do not assert outcomes the evidence does not support. Note that usage/adoption themes here come from what was discussed, not from product telemetry (ZoomInfo does not have product-usage data).

Output Format

QBR Prep Pack — [Company]

Snapshot — deal status, relationship, key stakeholders, and any notable recent context (from account_research).

Value delivered — the value moments and outcomes the customer actually acknowledged, each with its source call. This is the heart of the review.

Usage & adoption themes — what the customer has said about how they are using the product and where adoption stands, drawn from the conversations (not telemetry). Note thin coverage rather than inventing it.

Risks & open items — evidence-backed risks and unresolved items going into the review, each with a source and, where possible, a handle.

Suggested QBR focus — the two or three things to lead with or land in the review, tied to the above.

When there is no data

If conversation data is unavailable, deliver the account_research-based snapshot and state that value moments, adoption themes, and conversational risk could not be assembled, so the pack is limited to the account view.

来源与署名

来源:Zoominfo/zoominfo-mcp-plugin位于skills/qbr-prep提交d07402f

许可证: 无许可证

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