Leadership8 min
Org shape is the product roadmap you don't talk about
Most roadmaps fail because the team topology underneath them was never designed. A practical framing for shaping orgs around the work, not the people you happen to have.
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Scaling engineering organizations and data platforms.
Playbooks, case studies, and tools from real work with engineering teams (30–100 people) and SaaS products in the $1–30M ARR range.
How to reduce costs, improve delivery, and make better decisions when scaling.
What typically improves when engineering teams scale
Scaling teams
20 → 70
engineers
Faster delivery
4w → 1w
−75% per feature
Lower infra costs
−20%
Team attrition
24% → 6%
attrition
Featured cases
What this looks like in practice
Scaling a $20M ARR SaaS platform through a 2x team growth
A multi-tenant SaaS product with 60+ enterprise customers, an engineering team of 32, and ambitions to double revenue in 18 months.
ARR
$20M -> $34M
Headcount
32 -> 68
Lead time
12d -> 4d
Rebuilding a data platform underneath a live business
A 6-year-old warehouse with 400+ tables, drift between source systems, and a 5-person data team that had become a bottleneck for the entire company.
Time-to-new-metric
3w -> 2d
Data incidents
17/q -> 5/q
Warehouse cost
-28%
Featured thinking
Recent articles
Data11 min
The four kinds of data platform debt
Schema drift, lineage gaps, semantic ambiguity, and ownership voids. How to spot them, price them, and pay them down without freezing the business.
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Leadership6 min
Why your managers are overloaded (and what to actually cut)
A simple model for measuring manager load and a list of things you can stop doing this quarter without losing control.
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Featured tool
Try a working tool
Engineering benchmark
Compare your org's lead time, deploy frequency, and reliability against ranges from teams of similar size.