Traditional IT dashboards capture the usual operational indicators: system uptime, network performance, incident response times. But as technology becomes more deeply embedded across the business, CIOs and CTOs need a wider view of how systems, tools and digital investments are affecting people, processes and outcomes. In a recent Forbes Technology Council panel, eighteen technology executives — including Sonatafy CEO Steve Taplin — shared the nontraditional metrics they believe technology leaders should watch more closely in 2026.
Metrics outside the usual IT scorecard reveal friction, risk, adoption gaps and business impact that technical indicators alone miss. The panel converged on a clear theme: in the AI era, the metrics that matter most are the ones that measure trust, friction and business alignment — not just uptime.
AI Trust: Adoption Is Not the Same As Value
Several panelists flagged the same blind spot: technology leaders are reporting adoption numbers without measuring whether AI is actually changing the work. A model called ten thousand times a day but overridden on most of them is theater, not value.
Trust, not usage
The share of AI outputs employees ignore, rewrite or redo by hand. Usage dashboards measure adoption. Override rate measures trust.
Transformation, not deployment
When tools are deployed but unused, the operating model has not changed; only the spend has. Adoption velocity catches stalled transformations before they become write-offs.
Maker-checker audit trail
Every AI action should carry an audit trail showing what was generated, what it was based on, and who verified it. By the time damage shows up, it is already too late.
Where the work happens
The ratio of agent-driven usage (Claude Code, Codex, chat) to UI usage across the stack. Leaders who ignore this will wake up to an order-of-magnitude productivity gap.
Coordination Overhead: The Hidden Delivery Tax
Sonatafy CEO Steve Taplin contributed the panel's most quantitative warning: most leaders track velocity and uptime but ignore the coordination tax — the hidden cost of syncing people and processes that were never designed to move together.
"When 40% of your engineering capacity is spent in handoffs, meetings and status updates instead of building, your dashboard says you are on track while your delivery says otherwise."
— Steve Taplin, CEO, Sonatafy Technology (Forbes Technology Council, Jun 2026)
Coordination overhead is the operating-model equivalent of system latency. It compounds quietly across sprints until predictability collapses. The panel offered a set of friction metrics that, taken together, surface the same hidden tax from different angles.
| Friction Metric | What It Measures | Severity Signal |
|---|---|---|
| Coordination Overhead | Time lost to handoffs, meetings, status updates | > 40% capacity |
| Workflow Interruption Frequency | Tool switching, manual re-entry, bridging systems | Daily per role |
| Employee Workaround Rate | Spreadsheets, personal apps, manual hacks | High = shadow IT risk |
| Decision Latency | Time from question raised to decision made | Weeks signals friction |
| Time to Production | Idea to live in production (not project plan) | Months = structural issue |
| Employee Cognitive Load | Context switching, alerts, information overload | Early burnout signal |
Every one of these metrics tells the same story in a different language: the dashboard is green, the team is exhausted, and the roadmap is slipping. Leaders who only track uptime and velocity will see the slippage months after it has already cost them.
Risk Posture: Security and System Drift
The panel was unanimous on one point: traditional security KPIs reward activity, not outcomes. A wall of patched CVEs means little if the criticals are still open at 90 days, and a clean alert queue means nothing if your breaches are still being discovered by outsiders.
30-day fix ratio
Share of critical vulnerabilities fixed within 30 days. The single trend line that tells you whether security debt is shrinking or growing.
Self-detected vs externally notified
Mature shops find intrusions through their own telemetry. The rest get a phone call from the FBI, a customer or a journalist.
Quiet degradation in AI and automation
AI, automation and operational systems become less reliable as data and behavior change. Systems fail gradually before anyone notices.
Unapproved tooling in non-tech teams
When marketing or sales secretly build workflows on unapproved tools, it is rarely rebellion — it is a failure of the official stack.
People and Business Alignment
The final cluster of metrics is the one most CIOs and CTOs are least comfortable owning: how people feel about the technology, and whether the business is actually committed to the initiatives IT is funding.
| Metric | Why It Belongs on the Scorecard |
|---|---|
| Emotional Friction | How often users feel frustrated, anxious or defeated by internal systems. Predicts burnout, shadow IT and stalled adoption. |
| Employee Trust in Technology | If teams bypass or underuse tools, the issue is usability or alignment — not training. Technology only creates value when people trust it. |
| Employee Net Promoter Score (eNPS) | A practical measure of the organization's capacity to execute its technology strategy over the long term. |
| Net Revenue Retention & Churn | Clients buy outcomes. CIOs and CTOs should understand how they help improve the product customers are buying. |
| Business Ownership of Tech Initiatives | Number of active initiatives with a named business owner outside IT. Low number = technology operating in a vacuum. |
| Workflow Automation Growth | How many workflows are automated vs how many could be. Tracks whether the organization is scaling effectively or just adding spend. |
"Shared ownership is the clearest signal that technology strategy and business strategy are genuinely aligned. When that number is low, technology is operating in a vacuum."
— Forbes Technology Council, Jun 2026
The Takeaway: Measure Trust, Friction and Outcomes
The traditional IT scorecard — uptime, throughput, ticket close rate — was built for an era when technology supported the business from the back office. In 2026, technology is the business, and the metrics that matter are the ones that measure trust (do people use the tools you ship?), friction (what does the work actually cost?) and outcomes (does any of this move a number that matters?).
For Sonatafy clients, coordination overhead is consistently the first hidden metric we surface during a delivery assessment. It is also the one most leaders are least equipped to fix without restructuring how their teams are organized. The good news: once it is measured, it can be managed — and the gap between a 40% coordination tax and a 15% one is the difference between a stalled roadmap and a predictable one.