#323 – June 25, 2026
waves like the internet, mobile, and AI can make or break businesses
Riding technology waves
7 minutes by Stay SaaSy
Technology waves like the internet, mobile, and AI can make or break businesses. To navigate them well, ask four questions in order: Does this technology matter? How does it work? What will it change? Does it affect your business? The two big mistakes are ignoring waves out of laziness and overreacting out of fear of looking out of touch. If you miss a wave, admit it fast, move your best people onto it, and follow through.
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Lost confidence
14 minutes by Jason Cohen
Confidence scores in prioritization frameworks like RICE are unreliable because we cannot accurately predict project outcomes, and history backs this up. Instead, Jason advises to focus on what is always true for customers, measure real impact through usage and advocacy, and structure work as asymmetric bets where the downside is capped but the upside is large. Use portfolios for incremental reliability and time-boxed experiments to generate real signals before committing fully.
The value of getting closer to the work
7 minutes by Cate Huston
Scaling a team always meant turning unwritten knowledge into clear systems. Working with AI accelerates this, making automation cheap enough to prioritize immediately. Every AI session starts fresh with no memory, so unclear documentation and missing guardrails surface fast. The tools are new but the core work is the same: be clearer about what is expected, who owns what, and what good looks like.
You'll get re-orged again this year. Here's how to be ready.
6 minutes by Steve Huynh
Poorly handled reorgs destroy productivity. When leadership announces major changes without answers, teams spiral into anxiety and speculation instead of doing real work. Managers often know little more than their teams, but people refuse to believe it. Clear communication and honest acknowledgment of uncertainty from the start can prevent weeks of wasted energy.
When too many maps overlap on one person
9 minutes by Yusuf Aytas
When one person becomes the unofficial checkpoint for decisions, the org quietly routes around its own structure. Their judgment is often genuinely earned, but the problem is that it stays locked inside them. Over time, teams stop building their own reasoning and just borrow it. Yusuf suggests the fix is not to cut that person out, but to extract what they know into shared context, turning a human bottleneck into something the whole system can use.
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