QBR Prep
Assemble a QBR pack: value moments, usage and adoption themes, risks, and open items, with a deal and relationship snapshot.
Overview
QBR Prep assembles everything you need to walk into a quarterly business review: what value landed, what the customer has been raising, where the risks are, and what to cover. It pairs account_research for the deal and relationship picture with conversation_intelligence over the recent calls for what the customer actually said. The pack is review-ready and grounded in specific sources.
The skill snapshots the account first: deal status, stakeholders, and recent firmographic and news context. It then reads the two to four most relevant recent calls for value moments the customer voiced, usage and adoption themes, risks, and open items. Value moments sit at the heart of the pack, each tied to the call it came from. Usage and adoption themes come from what was discussed, since ZoomInfo does not carry product-usage telemetry.
Give it the account by ZoomInfo company ID or a name to resolve, and optionally the review scope (the period and the QBR's goal: renewal runway, expansion, adoption push). The scope shapes what to foreground. When no conversation data exists, the skill builds the pack from account_research and flags that value moments and themes could not be drawn from conversations.
What It Does
- Account snapshot: Pulls account_research for deal status, stakeholders, and recent context to frame the review.
- Recent call read: Runs conversation_intelligence over the two to four most relevant meetings for what the customer said.
- Value moments: Captures the outcomes the customer acknowledged, each tied to the call it came from, as the center of the pack.
- Adoption themes: Draws usage and adoption signals from the conversations, and marks thin coverage rather than inventing it.
- Risks and open items: Lists evidence-backed risks and unresolved items, each with a source and, where possible, a handle.
- Suggested focus: Recommends the two or three things to lead with or land, tied to the value, themes, and risks above.
Use Cases
Prep for a Quarterly Business Review
A QBR is a week out and you need a pack that reflects the account, not a template. The skill snapshots the relationship, pulls the value moments the customer voiced across recent calls, and lays out the risks and open items, so the review opens with proof of value and a clear agenda.
Build a Pack Focused on Renewal Runway
The review sits ahead of a renewal, so you want the pack angled toward retention. Passing that scope, the skill foregrounds the acknowledged outcomes and the unresolved risks that bear on renewal, and recommends the two or three points to land to strengthen the runway.
Summarize What Landed and What the Customer Raised
You want a fast, sourced read on the quarter before a prep meeting. The skill returns the value the customer acknowledged, the adoption themes they described, and the concerns still open, each traced to a specific conversation, giving you an honest basis for the review.
Skill Definition
The raw markdown Claude uses when this skill is invoked.
--- name: qbr-prep description: 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. --- # 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.
Created by
Rowan Bailey
Senior Director, Product
Provided by
ZoomInfo ↗Capabilities
- Snapshots the account with account_research (deal, stakeholders, recent context)
- Deep-reads recent calls with conversation_intelligence for value moments and themes
- Separates value delivered, adoption themes, and risks, each with a source call
- Notes adoption themes come from conversations, not product telemetry
- Recommends the two or three things to lead with in the review