Data Driven management for growing companies

Who it's for

I work with companies at the growth stage — usually with MRR from $1M, ideally $10M+ ARR. Most often these are B2B SaaS, marketplace, classifieds, ecosystem or multi-segment businesses — the ones where standard SaaS metrics no longer describe reality.

When to reach out

• The company has grown to $1M MRR, but no one understands exactly how

  Growth has slowed down. Hitting the plan has become hard. Most importantly — it's unclear what got you to this point and how to reproduce that success.

• Calendar reports show growth — cohorts show a disaster

  Standard reporting masks negative unit economics. The company is effectively going bankrupt against the backdrop of growing revenue.

• The business model is more complex than ordinary SaaS

  Classifieds, marketplace, ecosystem, SaaS + transactions, multi-segment. Standard SaaS metrics don't fit. The team doesn't know what to measure or how.

• Data is collected incorrectly or not collected at all

  Either the company has no analytics infrastructure at all, or it exists but events are tagged incorrectly, sources don't reconcile, BI systems give different numbers. In the first case we build from scratch. In the second — we switch to correct collection and convert the old data so the historical context isn't lost.

• There's a plan, tasks get done — but the plan isn't met and no one knows the growth levers

  Shareholders set the plan. The team came up with tasks. Six months later the resources are spent, the plan isn't met. Meanwhile the company is growing year over year — but the growth comes from capturing the market, not from internal levers. No one knows the real growth point. Once market share stabilizes, growth stops, and it turns out nothing manageable has been built inside.

What the work includes

• Audit (1 month)

  Interviews with every manager. Studying: what the company sells, how it sells, how it's processed, how it's recorded. Assessment of available resources (BI, engineers, analysts). By the end of the month — an understanding of the current state and a 2-year roadmap.

• Data model and infrastructure (2–6 months)

  • Company model: unit economics and a metrics tree
  • If data is collected incorrectly — the client's engineers rebuild tagging and collection
  • If there's a BI — I plug into it; if not — a dedicated reporting system is built (~3 months, powered by LLM)
• Rollout into the teams (3–6 months)

  • Teams learn to read their reports and understand which metrics to change and why
  • Leadership starts using the reports for decisions
  • This is the transition from reports to management
• Handover of the competency (year 2)

  Once the system works and leadership uses it, the focus shifts to handing over the competency. I don't make decisions for the company — I work together with leadership as an example so they learn to do it themselves:

  • Find growth points
  • Form hypotheses
  • Test them
  • Roll them out and measure the effect

Price and format

• Regular cost: €5,000 – €8,000 per month depending on the complexity of the business model and the scope of work. The exact amount is fixed in the contract.

• Setup fee (first month): 1.5× the regular rate. The first month is the most intensive: a full company audit, interviews with all managers, gap analysis, a 2-year roadmap.

• Volume of my time: on average 10–15 hours per week. Flexible — up to 16 hours a day in active periods, 1 hour a day in calm ones.

• Minimum term: 2 years. Year 1 — building the system. Year 2 — handing over the competency to the team.

• Payment: monthly, at the start of the month. Contract with Daniil Khanin Autónomo (Spain), invoice for bank transfer.

• Review terms: spelled out in the contract. At the end of Year 1 — a checkpoint: if the project hasn't reached the rollout stage against the agreed KPIs, the contract can be terminated without penalty. It's a symmetric guarantee: I commit to taking the project to rollout, the client commits to continuing the collaboration while that happens.

When it won't fit

• The team isn't ready to change the way it makes decisions

  Rolling out a Data Driven approach is not just data collection and pretty dashboards. It's a change in the decision-making process at every level: leadership no longer picks tasks intuitively, teams no longer explain results with "we tried hard" but rely on concrete metrics. If the team (especially leadership) isn't ready for this change, the project won't work, even with an excellent data system.

• Readiness to work for less than 2 years

  This is a transformation project, not consulting help. A shorter term — no point starting.

• A fast result is needed

  In a week / month / quarter — there will be no result in the numbers. The first year is building the foundation. The numbers start moving after at least 12 months.

• No team resources

  You need developers who can add data collection to the product; database engineers; analysts; infrastructure. I am the head, not the hands — without a team on the client's side there's nothing to work with.

• The company is at an earlier stage (MRR below $1M)

  At the current stage a one-off consultation or work on a financial model is likely more useful than a two-year engagement. I can help — but in a different format.

• Work outside the legal framework of Spain and the EU

  I work as an Autónomo in Spain. All contracts and payments are within the legal framework of Spain and the European Union.

About me

How to start

Write me an email — no obligations. In it:

• Tell me about the business, its size, stage and current data system
• Describe the problems you see from the inside
• I'll answer honestly: whether my format fits this situation

In reply — if it makes sense — I send a short one-page summary: what I understood, which steps I see, and whether it's worth moving toward a contract.