Pillar
Running a studio, managing scope, ops as a force multiplier
21 articles • Page 2 of 3
In 2024, 51% of all web traffic was automated, so opt-in tools are built to miss most of what reaches your site. Analytics undercounting is the norm. Server-level measurement gives you the honest number.
91% of deployed ML systems degrade over time, yet under 20% of organizations measure their automation. Automation maintenance, not the launch, is the real work. You automate to reach further, then monitor and improve.
Developers spend about 42 percent of their working week, roughly 17 hours, on maintenance and dealing with bad code rather than building new features, according to Stripe's 2018 Developer Coefficient report. That number is entropy at work. Software entropy is the tendency of any...
Disconnected data costs more than missing data because conflicts look complete. HBR 2016: knowledge workers can spend 50 percent of time in hidden data factories. Two dashboards that disagree are a weekly tax.
Forty percent of public company boards now prioritize data governance. Growing businesses can't keep theirs in a spreadsheet someone built three years ago.
68% of technology leaders plan to consolidate vendors this year. In regulated industries, the compliance case is even stronger than the cost case.
Kief Studio runs two people, ships like fourteen. Not because we're heroic — because the math on communication overhead, tooling, and institutional knowledge works differently at our scale.
Individual knowledge management tools are well-solved. The organizational equivalent — institutional memory that survives turnover and scales with headcount — is harder to build and more valuable.
After fourteen years of tracking analytics across industries and platforms, the metrics that actually drive decisions have narrowed to five. Everything else is noise until one of these five tells you to look deeper.
