New Business Registration

GTM New-Business Registration Audit

Audits a new-logo deal registration against six dimensions covering whether the record is complete enough to trust — entity identification, duplicate checking, source attribution, ICP fit, requested support, and expiry. Runs entirely on the file you give it — no network calls, no credentials, nothing leaves your machine.

Deal registration has no canonical public framework the way MEDDICC or BANT does. This rubric is built from general channel/deal-registration practice, not a named standard — see "What this does not do" below.

When to use this

• RevOps is reviewing a batch of newly submitted deal registrations before

approving them into pipeline.

• A manager is checking a registration-review call for whether the rep

actually did the legwork (dedup check, source, ICP reasoning) or just filed a name.

• Sweeping a registration export for records missing required fields before

they age into full opportunities.

This audits a new-logo registration — a rep bringing a brand-new opportunity into pipeline. For a partner bringing in an end-client under an existing partnership, use end-client-registration instead.

Modes

Dispatch on the input file's extension.

CSV mode (.csv)

claude "run new-business-registration on ./exports/registrations.csv"

Primary mode — registration exports are records, not calls. Structural sweep: for each registration row, flag each of the six rubric dimensions missing or present. Table: company/entity, submitted by, dimensions missing.

Transcript mode (.txt, .vtt, .json, .md)

claude "run new-business-registration on ./calls/registration-review.txt"

For a registration-review call. Score against references/rubric.md. Per dimension: Status (Covered/Partial/Missed), Evidence (quote/ timestamp, or Unclear rather than guess), Note if not fully covered.

Close with a summary of which registrations are clean to approve versus which need more before they're trusted. Run the reads-well-too check first.

Sample data

assets/sample-registrations.csv — synthetic batch of new-business registration records, for CSV mode. assets/sample-transcript.txt — a synthetic registration-review call, for transcript mode.

What this does not do

This audits against general deal-registration practice, not a named framework — there isn't a canonical one for this motion the way there is for MEDDICC or BANT. It draws only on customer-visible form field names and question text, never internal scoring weights or approval thresholds.

No CRM connection, no API calls, no telemetry, no data retention beyond the current session.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: zime-ai
• Source: zime-ai/zime-gtm-skills
• License: MIT
• Homepage: https://zime.ai

Install and usage instructions live in the source repository linked above.