What clients see in weeks 2–4
We publish baselines, track P95 metrics, and attach before/after proof—so progress is visible without digging
Catalog Operations Outcomes
What clients see by weeks 2–4.
Snapshot:
Product data stops fighting the storefront. SKUs read consistently, images meet guidelines, and Merchant Center errors stop blocking ads. Feeds sync on a predictable cadence, so merchandising changes go live faster and cleaner. Each week you get a change log and a before/after error report; we call out what improved, what needs a decision, and what’s queued next—so your catalog behaves like a system, not a spreadsheet.
KPIs we track:
Proof artifacts:
- GMC error rate and policy-safe feed status (weekly)
- SKU completeness & consistency (titles, attributes, pricing)
- P95 feed-sync latency to storefront/ads
- GMC before/after error log → /outcomes#gmc-before-after
- Weekly change-log sample → /outcomes#sample-dashboard
- Feed status snapshot → /outcomes#feed-status
Week-1 vs Week-4 cards:
- Week-1 Baseline: SKU template agreed; GMC audit complete
- Week-1 Setup: Feed cadence set; image rules documented
- Week-4 Stability: GMC error rate trending down; titles/images standardized
- Week-4 Cadence: P95 feed sync stabilized; weekly change logs live
Customer Support Outcomes
What clients see by weeks 2–4.
Snapshot:
First-response stabilizes under 6 business hours (P95). Resolution lands within 24–48 hours with fewer reopenings, and Inbox Zero becomes a daily norm. Weekly reports surface CSAT trends and volume spikes, so staffing and hours decisions are straightforward. SLA compliance carries variance notes, owners, and fix-by dates—accountability built into the work.
KPIs we track:
Proof artifacts:
- P95 First-Response Time
- P95 Resolution Time
- CSAT & Reopen Rate
- Weekly support report (redacted) → /outcomes#support-report
- SLA targets & definitions → /service-overview#sla
Week-1 vs Week-4 cards:
- Week-1 Baseline: SLA windows agreed; canned responses drafted
- Week-1 Setup: Ticket tags and CSAT tracking enabled
- Week-4 Rhythm: P95 FR/Resolution within targets; Inbox Zero daily
- Week-4 Visibility: Weekly CSAT and volume trends reviewed
Data Annotation & Labeling Outcomes
What clients see by weeks 2–4.
Snapshot:
Labeling stops drifting. A pilot locks guidelines and edge cases; two-stage QC catches misses early. Inter-annotator agreement stays visible, disagreements are resolved the same week, and clean CSV/JSON drops land on schedule—so training pipelines don’t stall on data hygiene.
KPIs we track:
Proof artifacts:
- QA pass rate & Inter-Annotator Agreement (IAA)
- Turnaround time per batch (P95)
- Issue log closure rate (owner + fix-by)
- QA sample & audit report (redacted) → /outcomes#qa-sample
- IAA dashboard excerpt → /outcomes#iaa
- Data drop changelog (CSV/JSON) → /outcomes#sample-dashboard
Week-1 vs Week-4 cards:
- Week-1 Baseline: Guidelines + ontology agreed; QA rubric set
- Week-1 Setup: Project configured; sampling plan active
- Week-4 Quality: QA pass ↑; disagreements ↓; IAA within target
- Week-4 Delivery: On-schedule drops; exceptions documented
Workflow Automation Outcomes
What clients see by weeks 2–4.
Snapshot:
Flows stop breaking in silence. Runbooks and diagrams make ownership clear; monitoring raises alerts; fixes land within MTTR targets. Manual hours shrink as exceptions are handled predictably, and a monthly change log keeps product, marketing, and ops aligned.
KPIs we track:
Proof artifacts:
- Flow uptime & incident MTTR
- Exception rate & manual hours saved
- Change-request throughput per month
- Runbook & monitoring snapshot (redacted) → /outcomes#monitoring
- Change log before/after → /outcomes#flow-changes
- Flow diagram excerpt → /outcomes#diagram
Week-1 vs Week-4 cards:
- Week-1 Baseline: Current flows mapped; risks captured
- Week-1 Setup: Monitors/alerts live; runbooks drafted
- Week-4 Reliability: Uptime ↑; MTTR within target
- Week-4 Efficiency: Manual steps reduced; change log active
How we measure
We track P95 metrics, publish weekly dashboards and change logs, and attach owners and fix-by dates to any breach.
Definitions live in Service Overview