Analytics that ends in a to-do list, not a dashboard
Every store has more dashboards than answers. WorkDaddy’s Analyst agent reads your GA4 data every day, tells you what changed and why it matters, and converts findings into work orders for the other agents — which you approve before anything ships.
The problem with e-commerce analytics has never been a shortage of data; it’s that data doesn’t do anything. A dashboard can show conversion dipping for a week before anyone asks why, and even then, the answer becomes a meeting instead of a fix. WorkDaddy’s Analyst agent works differently. It reads your GA4 property daily like a diligent human analyst would — checking funnels, traffic sources, product performance, and anomalies — and produces a short, ranked brief: what changed, what’s leaking, what to do next. Then comes the part no dashboard can offer: findings become tasks routed to the Builder, Visibility, or Retention agents, with the Ops agent keeping the tracking itself trustworthy. You review each proposed action before it executes. Data in, decisions out, work shipped.
A daily read, not a quarterly deep-dive
Most stores look hard at their data only when something feels wrong — which means slow leaks go unnoticed for months. The Analyst agent’s value is cadence. Every day it walks the same disciplined route through your GA4 property: e-commerce funnel health, channel mix shifts, landing-page performance, product and category trends, and statistical anomalies worth a human’s attention. Routine days produce a two-line all-clear; abnormal days produce a finding with evidence. You get the vigilance of a full-time analyst without the standing meeting, and the agents get a continuously fresh picture that makes their proposals sharper.
From “what happened” to “what to do”
The Analyst’s output format is deliberate: every finding must end in a recommended action, an owner, and the evidence behind it. Not “mobile conversion is down 12% week over week” but “mobile conversion dropped after Tuesday’s theme update, concentrated on the PDP template — recommend Builder inspects the variant selector; task drafted for your approval.”
Findings ranked by revenue exposure, so attention follows money
Each finding paired with a drafted task for the right agent — Builder, Visibility, or Retention
Root-cause context attached: what changed, when, and what correlates with it
A weekly digest that rolls daily findings into trends worth strategic attention
Trustworthy numbers: Ops keeps the pipes clean
Analysis is only as good as the tracking beneath it, and e-commerce tracking decays constantly — a theme update drops a datalayer event, a new landing-page template ships without tags, a consent banner change quietly halves your measured traffic. The Ops agent monitors the measurement layer itself: GA4 event coverage, purchase data matching store orders, tag health after deploys. When tracking breaks, you find out from your agents in hours, not from a suspicious-looking monthly report. Ops also maintains the shared memory and audit log in Supabase, so every finding, decision, and shipped change stays connected and reviewable.
Findings become delegated work — with you in the loop
This is where analytics stops being a spectator sport. When the Analyst identifies a leaking checkout step, it drafts a task for the Builder. When organic landing pages underperform, the task routes to Visibility. When repeat purchase softens, Retention gets the brief. Each cross-agent task appears in your queue first: the finding, the proposed action, and what will change. Approve it and the work proceeds through the same review-first pipeline as everything else — staged edits you sign off before they ship. Dashboards tell you what’s wrong; this system drafts the fix and asks for your go-ahead.
One review queue for all analyst-initiated work across every agent
Findings, tasks, and outcomes linked in a single audit trail
You can dismiss any finding — dismissals teach the Analyst what you consider noise
Outcome tracking: every executed task is measured against the finding that spawned it
How it works
Set the goal
Connect GA4 and your store, and tell WorkDaddy which metrics define success for you — revenue, conversion, repeat rate, channel efficiency — and what thresholds deserve your attention.
The Analyst reads and ranks daily
Every day the agent walks your funnels, channels, and product data, producing findings ranked by revenue exposure, each paired with a drafted task for the right agent.
You approve the actions
Proposed tasks land in your queue with the evidence attached. Approve them and the Builder, Visibility, or Retention agents execute through the standard review-first pipeline.
Automate the routine reads
Once the Analyst’s judgment has proven itself, let routine monitoring and low-risk task dispatch run on auto-pilot while significant findings still come to you first.
What you get
A daily brief on funnel, channel, and product performance — two lines when all is well, evidence when it isn’t
Findings ranked by revenue exposure, each ending in a drafted task for a specific agent
A weekly digest connecting daily signals into trends worth strategic decisions
Continuous tracking-health monitoring, with broken events caught in hours instead of months
A linked audit trail from finding to task to shipped change to measured outcome
Anomaly alerts tied to probable causes — deploys, campaigns, tracking changes — not just raw deltas
Handled by these agents
Frequently asked questions
How is this different from GA4’s own reports and insights?
GA4 shows you data; you still supply the interpretation, prioritization, and follow-through. The Analyst agent does the daily reading for you, ranks findings by revenue exposure, explains probable causes, and — the part no reporting tool offers — drafts the actual fix as a task for the Builder, Visibility, or Retention agents, which executes only after your approval.
Can it take action on my store directly from a finding?
Only through your review. A finding becomes a proposed task, the task becomes a staged change, and you approve each step before anything reaches your live store or your customers. If you later enable auto-pilot for narrow, low-risk actions, that is an explicit choice you scope and can revoke — the default is always review-first.
What if my GA4 setup is a mess?
A messy setup is a common starting point, and it’s the first thing addressed: the Ops agent audits event coverage and purchase-data accuracy against your store’s actual orders, and the agents propose the tracking fixes before leaning on the numbers. The Analyst also flags confidence levels, so you know when a finding rests on solid data versus a metric still being repaired.
Does it replace my analyst or my agency?
It replaces the repetitive layer of their work — the daily pulls, the anomaly triage, the “why did this dip” archaeology — and gives whoever owns strategy a clean, evidence-backed queue to decide from. Teams with an analyst use WorkDaddy as leverage; stores without one get the daily discipline they were missing.
Keep reading
Analytics & reporting
Daily GA4 reads turned into ranked, actionable briefs.
Playbook: set up GA4 e-commerce tracking
Get the measurement layer right before trusting the numbers.
Playbook: measure marketing attribution
Understand which channels actually drive orders.
Meet the Analyst agent
How the data-reading member of the team works.
Put the team to work on your store
Connect your storefront, analytics, and email stack, set a goal, and let the agents run the work end to end. Start on the free plan with your own model key.