What clients see in weeks 2–4
We publish baselines, track P95 response/resolution metrics, and include before/after evidence—so progress is visible without manual investigation.
Catalog Operations Outcomes
What clients see in 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 stable 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:
Evidence artifacts:
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 in weeks 2–4.
Snapshot:
P95 first response falls under 6 business hours. 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 coverage decisions are straightforward. SLA compliance includes variance notes, owners, and fix-by dates—accountability stays built in.
KPIs we track:
Evidence artifacts:
Week 1 vs week 4 cards:
- Week 1 baseline: SLA windows agreed; macros drafted.
- Week 1 setup: Ticket tags and CSAT tracking enabled.
- Week 4 rhythm: P95 first response + resolution within targets; Inbox zero daily.
- Week 4 visibility: Weekly CSAT and volume trends reviewed.
Data Annotation & Labeling Outcomes
What clients see in weeks 2–4.
Snapshot:
Labeling stops drifting. A pilot locks guidelines and edge cases; two-stage QA catches errors early. Inter-annotator agreement stays visible, disagreements are resolved the same week, and clean CSV/JSON deliveries land on schedule—so training pipelines don’t stall on data prep. Teams stop debating edge cases in threads; they work from a shared rubric, see issues queued with clear owners, and spend their time improving models instead of cleaning labels.
KPIs we track:
Evidence artifacts:
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 rate up; disagreements down; IAA within target.
- Week 4 delivery: On schedule drops; exceptions documented.
Workflow Automation Outcomes
What clients see in weeks 2–4.
Snapshot:
Flows stop breaking in silence. Runbooks and diagrams make ownership clear; monitoring raises alerts; remediation lands within MTTR targets. Manual hours shrink as exceptions are handled predictably, and a monthly change log keeps product, marketing, and ops aligned. Leaders see at a glance which flows are healthy, what changed last, and where manual work still remains, so they can prioritize fixes instead of chasing status updates.
KPIs we track:
Evidence artifacts:
Week 1 vs week 4 cards:
- Week 1 baseline: Current flows mapped; risks captured.
- Week 1 setup: Monitoring and alerting live; runbooks drafted.
- Week 4 reliability: Uptime improving; 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.
- P95 targets
- Weekly dashboards
- Change logs
- Owners & fix-by dates
Definitions live in Service Overview
How we measure
We track P95 metrics, publish weekly dashboards and change logs, and attach owners and fix-by dates to any breach.
- P95 targets
- Weekly dashboards
- Change logs
- Owners & fix-by dates
Definitions live in Service Overview