LETS PARTNER

CAPABILITIES

The methods, formats, and stack behind the work

Services describe what we do — capabilities describe how. Below are the analytical methods we lean on, the engagement formats we deliver in, and the tools we build with. We’re tool-agnostic by default — we’ll recommend what fits your team, not what’s on our resume.

Want to know if we cover a specific method or tool not listed above? Ask us directly — most of the time the answer is yes.

A four-phase rhythm that ends in adoption, not a deck.

Most consulting fails at the hand-off. We structure engagements so that what we build actually lives on in your team's weekly rhythm — long after we've stepped back. Typical engagement 4–12 weeks Diagnosis sprint, design phase, deployment, optional ongoing retainer.
  1. 1

    Diagnose

    We start with a 2–4 week discovery sprint — interviews, data review, and a structured hypothesis deck. You leave with clarity on the real problem, not the surface symptom.
  2. 2

    Design

    We co-build the answer with your team — strategy, financial model, dashboard, or process design. You see the work as it takes shape, not at the end.
  3. 3

    Deploy

    We hand over the deliverables, train your team, and embed the new way of working into daily operations. Adoption matters more than slides.
  4. 4

    Sustain

    We stay available — monthly check-ins, fractional leadership, or analytics-as-a-service. The work compounds when it’s reviewed, not when it’s delivered.

Analytical methods
How we generate insight — not just summarize data.

Financial modeling
3-statement, DCF, scenario, sensitivity, and unit-economics builds.
Cohort & retention analytics
Behavioral cohorts, retention curves, LTV, and contribution margin.
Customer research
Interview programs, NPS design, willingness-to-pay and conjoint studies.
Market sizing
TAM/SAM/SOM, bottom-up builds, top-down sanity checks, competitive share.
Predictive & prescriptive
Churn scoring, demand forecasting, scenario simulation, optimization.

Engagement formats
How we deliver — shaped around your reality, not our template.

Diagnostic sprints
2–4 week structured discovery ending in a hypothesis deck and a proposed path.
Workshop facilitation
Strategy offsites, leadership alignment, quarterly business reviews.
Embedded leadership
Fractional CFO, COO, or Head of Analytics on a part-time basis.
Project engagements
Scoped 6–12 week builds with clear deliverables and hand-off.
Retainer partnerships
Monthly cadence — advisory, analytics-as-a-service, or both.

Tools & platforms
The stack we build on — and the one we’ll help you choose.

BI & dashboards
Looker, Tableau, Power BI, Metabase — selection, build, and adoption.
Data warehouses
Snowflake, BigQuery, Redshift, Postgres — modeling and governance.
Data engineering
SQL, Python, dbt, Airflow — pipelines, transforms, and quality.
No-code & low-code
Airtable, Retool, Zapier, Make — internal tools and automations.
AI tooling
LLM use-case scoping, RAG pilots, embedding and evaluation design.