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@kata-team
Flags the days your GA4 metrics deviate from their baseline — with the numbers computed, not guessed.
Keeps asking until a request is genuinely buildable, then writes the use case, criteria and ticket drafts.
Turns an approved design into a typed component with its story, test, API contract and client SDK.
Decides what your ad data can actually support, and refuses the rest
Build-test-deploy engineering: CI wall clock, bottleneck forecast, staged rollout, rollback point, runbook.
Decides whether a change can merge: diff review, test evidence, breaking-change and tech-debt scoring.
Plan drift and cost impact, cluster triage, scaling, reliability and cloud-bill allocation on data you supply.
Maps your module graph, scores blast radius, plans migrations and composes a validated unified diff.
Turns YouTube Analytics metrics into a deterministic performance narrative + recommendations
A 0–100 site health score from GA4, per device, with the failing metrics and what to do about each.
Funnel conversion and cohort retention from your own event data — every number computed, none narrated in.
Stops an infrastructure or dependency change that opens a hole.
Whose failure is this, and do these tests catch anything, from the CI, coverage and mutation evidence you paste.
Detects idle Snowflake warehouses and expensive queries with monthly savings estimates
Models three packaging options against your real customers — who pays more, who pays less, net impact.
Normalizes FedEx/UPS/DHL tracking into status, ETA and exception alerts
Processes GDPR DSARs across Postgres + HubSpot with compliant response drafts
Deterministic AML rule engine over Postgres transactions with SAR draft generation
Scores your site for AI-search visibility and writes the robots.txt, llms.txt and JSON-LD to fix it.
Zendesk CSAT trend analysis with negative-theme mining and Slack decline alerts
Says what your own material supports — and refuses to write the rest
CAC, LTV and payback per channel with a budget shift — and the attribution model always stated, never assumed.
Predicts appointment no-show risk from FHIR history and triggers Twilio SMS reminders
Finds the exact step killing your activation rate and returns three ranked A/B tests to fix it.
Scores HubSpot deals by health and surfaces at-risk opportunities with AI follow-ups
Compares a PRD's acceptance criteria to what shipped — including the requirements silently dropped.
Classifies workplace incidents under OSHA 29 CFR 1904 with Notion + Slack alerts
Ranks the queries you can actually win, and says which tool it did not need
Correlates Datadog metric anomalies with logs into a structured RCA, posted to Slack/PagerDuty
Automated weekly Stripe MRR/churn/NRR report with anomaly detection, posted to Slack
Deterministic Mixpanel/Amplitude retention and churn analysis with LLM-narrated insights
One source piece into five channels — with tweet, slide and character counts that are actually computed.
Campaign brief to a publish-ready landing page with tracking, an A/B variant and an enforced consent gate.
Extracts, three-way matches, codes and VAT-checks an invoice batch into draft ERP records for approval.
Platform-fitted ad variants weighted to your winning angles, with a policy scan before you submit.
Syncs LinkedIn Recruiter InMails with Greenhouse ATS, reports to Notion and Slack
Capped budget shifts, mined negative keywords and pause candidates — and it never guesses a missing ROAS.
Separates what your marketing data measured from what the convention decided
QuickBooks AR aging risk-scoring with follow-up notes and daily Slack alerts
Reconciles Salesforce pipeline forecasts with historical win rates for adjusted projections
Zillow comp data into a deterministic CMA with a recommended list price range
Sorts your inbox into urgent, action, info, noise and suspicious — and drafts replies it can never send.
Scores competitor moves across pricing, product, hiring, reviews and changelog into a weekly digest.
GA4 + HubSpot buyer-intent lead scoring with hot-lead Slack digests for real estate
Turns your domain research into a sourced brief — and flags any claim without a source as critical.
Scores brand chatter for crisis risk and ranks the posts worth replying to — by reach, not recency.
Analyzes Chargebee upgrade/downgrade patterns to surface growth opportunities
Weekly diff of competitor ads, pricing, SERP and messaging — and it always tells you what it could not see.
Scores GEO compliance against a versioned ruleset and builds the fix PR — schema.org, llms.txt, canonicals.
Sizes your A/B test and reads it out — and refuses to call a winner before the sample supports it.
Finds which feature's decline precedes cancellation — and how many days of warning it gives you.
Ranks backlink prospects with drafted outreach — and demotes the link farms instead of recommending them.
Extracts hardcoded strings into translation keys, builds locale files, and flags RTL overflow risk.
The whole webinar campaign plus the follow-up nobody does — with a hard consent gate on the sales handoff.
Shopify + Klaviyo segment analysis to target the highest abandoned-cart recovery opportunity
Builds at most four personas from your real accounts, with every job and quote traced to a record.
Press release, ranked media list and a pitch per journalist — drafted, with the scoring formula published.
Turns read-only BigQuery metric results into deterministic deltas/trends + narrative
Square POS Menu Engineering analysis with discount/promotion/removal recommendations
Turns a crawl export into traffic-ranked SEO findings, a fix-PR plan and a verification checklist.
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