Consistent, defensible numbers take more than vibes. One governed source behind every number One definition behind every KPI One path from source to decision How intentional is your data stack?
Product dashboard$1.17M
Marketing pitch$1.27M
Board deck$1.31M
Reconciled
One governed definition
Most startups don't need a platform rebuild.
They need to know what's broken, what matters, and what to fix first.
Finance, product, and growth all report different numbers for revenue, churn, and conversion — and each can defend theirs.
Your models, spreadsheets, and integrations work — until they don't. How they work lives in one person's head.
You know the stack needs work — but not whether modeling, testing, definitions, ownership, or tooling comes first.
A short, fixed-scope review of your analytics setup that surfaces the highest-leverage fixes for reliable, useful reporting.
Review of your warehouse, transformation layer, reporting tools, core sources, and workflow.
Identify where metrics like revenue, retention, churn, activation, CAC, or active users are inconsistent.
Flag brittle models, undocumented logic, missing tests, unclear ownership, and single points of failure.
A practical 30/60/90-day plan ranked by business impact, effort, and risk.
A concise report your team can use to align engineering, finance, product, and leadership.
A recorded walkthrough of findings and recommended next steps.
A 20-minute conversation to understand your team, stack, reporting pain points, and goals. If I'm not the right fit, I'll say so quickly.
You provide limited read-only access — or simply walk me through the relevant tools, models, and dashboards.
I trace data from source systems to reporting, focusing on what most affects business decisions.
You get a concise audit document, prioritized recommendations, and a working session on next steps.
A concise executive report. Here's the shape of it.
Executive summary
The highest-priority issue is inconsistent revenue logic across Finance and Product reporting. The team has three separate definitions of "active customer," creating material reporting risk.
Top priorities
Impact / effort matrix
Introductory fixed-price audits start at $750 for qualifying early-stage teams. The exact scope is confirmed after a free fit call.
Most audits take three to five business days once access and context are available.
No. The review can begin with architecture walkthroughs, dbt project access, dashboard access, metadata, sample queries, and limited read-only permissions. We'll agree on an access approach that is appropriate for your security requirements.
The audit is most useful for teams using a modern analytics stack: dbt, Snowflake, BigQuery, Postgres, Redshift, Looker, Metabase, Mode, Hex, Fivetran, Airbyte, Segment, and related tools.
Yes. If it makes sense, implementation can be scoped separately. The audit itself is designed to be valuable even if your internal team executes the roadmap.
Potentially. The audit is a good low-risk starting point for teams considering ongoing analytics engineering or data strategy support.
Book a short fit call, or send a note about your stack and what's not working. I'll reply personally.
Prefer email? kylek@knoche.dev