1. Retail Analytics
  2. Features
  3. Snapshot workspace
Feature · Snapshot workspace

Snapshot workspace

Follow a dated retail measurement from collection through review and publication.

OverviewPublished snapshots
Retail Analytics · Snapshot workspace

Published snapshots

Retail snapshots

New
NumberNameStore dateConversion countSession countStatus
RS-57561Snapshot 26211 Oct92Published
RS-92908Snapshot 44318 Oct3622Published
RS-42141Snapshot 75710 Oct104Published
RS-67894Snapshot 24826 Oct2311Published
RS-61205Snapshot 51522 Oct2515Published
6 of 6 records
Snapshot 262Retail snapshots · RS-57561
Published
Store date11 Oct
Conversion count9
Session count2
Example screen with sample data

What you can do

Keep one measurement accountable

A retail snapshot gives the team a dated record for one measurement. The Measurement Owner selects the organization and store definition, sets the store date, and records the source identity and consent basis. Those details let the Retail Analyst relate basket facts and observations to the right measurement rather than mixing periods or stores. The owner also has a clear place to see the current lifecycle state and revision.

The Retail Overview screen gives a broader operating picture: KPI health, reviewed results by unit, monthly snapshot counts, status mix, observed basket conversion trend and overdue follow-up exceptions. Use that overview to find a measurement that needs attention, then inspect the underlying snapshot before making a decision.

How the work is organized

  • Definition. The store definition and organization establish which measurement the snapshot represents.
  • Collection. Basket facts and observations retain their source context under the dated snapshot.
  • Review. A reviewer decision and state history identify which revision was examined before publication.

What to agree during setup

Agree how a source record identifies a store and reporting date. The source record ID should stay stable when collection is retried. Decide who owns the snapshot, which consent basis applies, and how the team checks a revised result. For a correction, record the changed revision and retain the earlier decision against its original revision. Keep store definitions effective dated so an older snapshot can still be read using the definition that applied then.

Agree which result needs an independent decision before the owner marks a snapshot published. The reviewer must see the supporting evidence and the exact revision. If a measurement is returned, record the reason and route the work back to the owner. This preserves the context behind a later correction.

Check the handoff on an actual case

Take a store measurement for a particular date. The owner creates the snapshot, links the store definition and records its source identity. The analyst collects consented basket facts and checks the observation window. A reviewer examines evidence and records a decision against the current revision. The owner then reads the result and confirms the published state. If collection is repeated with the same operation key, inspect the original run rather than accepting duplicate facts.

The review should also inspect state history for recorded transitions, actors and revisions. A returned decision keeps its reason beside the revision it covers. A dashboard count alone cannot answer those questions.

What your team sees

  • Snapshot lifecycle — Find a measurement by date, owner and status, then open its source and review context.
  • My retail snapshots — Keep each owner’s current measurements together.
  • Retail Overview — See the status mix and overdue follow-up exceptions across measurements.

What it keeps track of

Data model
Retail snapshots
Measured web properties with lifecycle status and observed outcome fields.
Retail stores
Configured measurement and experiment definitions with effective dating.
Organizations
Customer organizations whose web properties are measured.
People
Analysts, owners and reviewers belonging to an organization.
State history
Immutable lifecycle transition history for each source.
Review decisions
Independent reviewer decisions recorded against an exact source revision.

Who uses it

Permissions
Measurement Owner
, Retail Analyst, Independent Reviewer, Operations Lead

Set up Retail Analytics your way.

Start free, then use Proto to change fields, steps and approvals before your team goes live.

How to get started