Track account awareness without inventing intent

When to use it

A meaningful permitted account interaction arrives starts this workflow. Keep observed interactions as events, then derive a current awareness state with explicit expiry and uncertainty. The intended output is an account timeline with observed facts and a derived state. A useful receipt names the accountable person and the next action; it should make the commercial decision easier to inspect.

This is an original GTMhub reference design. It explains how we would run the job, with tools selected for the company's existing stack. It is not presented as completed client delivery or measured commercial performance.

Inputs and decision boundaries

Confirm event type, source, date, account association and awareness rules. Keep the original source and observed date alongside each fact. Missing context stays unknown until it is resolved. Facts, interpretations and proposed actions should remain distinguishable in the handoff.

Your company brain holds the approved rules and proof; the live system holds current account state and ownership. Read both before making an operational change. Assign an exception owner before launch so an uncertain case has somewhere useful to go.

Run the job

1. Store the raw interaction without overwriting earlier evidence.
2. Resolve the correct account and deduplicate notifications.
3. Apply the agreed awareness rule and expiry.
4. Route a useful update without bypassing eligibility or ownership.

At the decision gate, ask: Does the evidence justify this awareness state under the current rule? If the answer is no: retain the event and keep the previous state or mark uncertainty. Only the supported path proceeds to its output. A stopped job should preserve the reason and what would let an owner resolve it.

The output to inspect

Failure and recovery

The material failure to watch is this: awareness is treated as budget, fit or permission to start outreach. Stop that path and preserve the underlying evidence. Repairing a field or a source is different from changing the commercial rule; record which decision was made.

If a connected system fails, keep the original request or event and expose its unresolved state. Retry only the incomplete action, with a stable event key where writes are involved. Do not let a retry create a second owner task or bypass a previous exclusion.

Test before making it live

Replay a supported case, an incomplete case and the failure described above. Where the job writes a record or creates a task, replay the same event twice and inspect the result. Check that the exception owner can understand the hold reason without reconstructing every step.

Judge the result

Track state accuracy, expired evidence and qualified outcomes by awareness cohort. Record the sample, dates and definitions before evaluating a change. Operational success shows that the job behaved as designed; commercial outcomes need their own mature evidence.

Return reviewed corrections to the company brain with the decision date and rule version. Keep the original observation available. The decision register records what changed and why, while the GTM brain guide explains how the job fits into one company system.