Clickable Prototypes: The Decision-Making Shortcut CEOs Need

A Message from Matt

As we step into a new year, one truth has become unmistakable: leaders don’t just need more data to make smart software decisions—they need clarity. Not more documentation. Not more hypotheticals. They need to experience what’s possible.

AI-first discovery is giving CEOs that clarity in a matter of weeks. This issue highlights why clickable prototypes are becoming the decision-making tool leaders rely on to validate ROI, accelerate alignment, and move forward with confidence.

My hope is that these insights help you enter the year with greater momentum—and make 2026 your most focused, decisive, and transformative year yet.

Happy New Year, and thank you for being part of our community.

Matt Strippelhoff
Partner, CEO/CRO - Red Hawk Technologies

Short on time? Listen to our summary podcast that focuses on the highlights of Issue 6.

What’s in This Issue

This month, we break down the shift every mid-market CEO should be watching:

• Why clickable prototypes are becoming the fastest path to clarity in custom software decisions
• How AI-first discovery delivers proof—not paperwork—before you invest
• A real-world case study, where a brokerage used a prototype to uncover hidden bottlenecks and scale analyst throughput 3x

If you're looking to make smarter, faster technology decisions this year, these insights will show you the new standard.

The Future of Discovery Is Clickable Prototypes

For years, software discovery has looked the same: interviews, documents, spreadsheets, sprint plans, and a proposal. Useful—sure. Inspiring—not usually. And for CEOs being asked to make a major investment, static documents often fall short of delivering the clarity needed to say “yes.”

Our latest article breaks down how AI-first discovery is transforming that experience. Instead of interpreting requirements from static documents, leaders now receive a clickable prototype—a proof of concept they can see, click through, and react to before committing to a full build. Backed by a streamlined Project Requirements Document (PRD) and our AI-first SDLC, this approach gives organizations real proof, removes guesswork, and accelerates alignment.

Key Takeaway: A document explains your system. A clickable prototype reveals how it will actually work.

This is quickly becoming the standard for evaluating custom software in 2026—and organizations that embrace it will move further, faster.

👉 Read the full article

Case Study: How a Clickable Prototype Unlocked 3x Throughput for a Brokerage Team

This month we are highlighting a brokerage firm facing a common challenge: brilliant analysts trapped in administrative work. They spent up to 80% of their day reconciling spreadsheets, chasing email threads, and double-checking requirements—an “admin trap” that capped them at 1–2 concurrent projects.

Through our AI-first discovery process, we developed a behavior-driven, high-fidelity, clickable prototype that demonstrated an entirely new operating model. Leadership wasn’t imagining transformation—they were interacting with it.

Here’s what the prototype proved:

1. Active Prioritization → Focus on the right work at the right time. A “Focus Zone” suppressed noise, enforced SLA-driven sequencing, and ensured nothing fell through the cracks.
   
   
2. AI-Assisted Guardrails → Instant accuracy, zero guesswork. A Proposal Comparison Matrix with red/green decision logic validated every requirement—automatically.
3. Real-Time Scope Protection → No more expensive surprises. An AI Smart Inbox flagged requirement changes buried in email threads and prompted one-click updates.

The outcome?

The prototype validated a clear, low-risk path to scale productivity by 3x without adding headcount.

Key Takeaway: Before investing in a full system, a well-designed prototype can expose bottlenecks, reveal leverage points, and prove ROI in weeks.

👉 Read the full case study