Decision Consulting for Engineering Executives
Your high-stakes decision is stalled. Let's unstick it.
I'm Dr. Jen Anderson, a behavioral neuroscientist who helps CTOs and engineering executives surface the hidden patterns blocking their decisions — then create a clear path forward.
I spent 10 years studying how brains process complexity and risk, then 10 years leading engineering teams at scale. I see why decisions stall — and how to unstick them.
The Problem
Why Your Decision Is Stuck
You have a high-stakes decision that's been stalled for months:
- •Platform migration with $2M budget but no consensus
- •AI strategy initiative where every stakeholder has a different vision
- •Technical architecture choice with unclear tradeoffs
- •Team reorganization where no one can agree on structure
The problem isn't lack of information. You have too much information.
The problem is:
- ✗Multiple stakeholders with competing priorities
- ✗Unclear ownership (everyone can veto, no one can decide)
- ✗Hidden assumptions that conflict with each other
- ✗Technical complexity mixed with organizational politics
- ✗Cognitive overload — your team is too busy to think strategically
Traditional consultants do more technical analysis. But that's not why you're stuck. You're stuck because of invisible behavioral patterns.
The Science
What Neuroscience Reveals About Blocked Decisions
My PhD research studied why brains fail to detect signals under complexity:
Low contrast
Gradual changes are invisible (even when significant)
Positional bias
Signals in 'low-attention zones' get missed
Crowding
Too many competing signals reduce perception
Poor orientation
How information is framed affects detection
The same patterns show up in organizational decisions:
Low contrast →
Gradual drift from strategy (no one notices)
Positional bias →
Key concerns from 'low-status' stakeholders ignored
Crowding →
Too many opinions, analyses, frameworks (paralysis)
Poor orientation →
Metrics and data that obscure rather than clarify
I call this "Behavioral Drift" — when decisions gradually drift off course but remain imperceptible until it's too late.
This is why more analysis doesn't unstick decisions. You need someone who can see the invisible patterns.
Why this matters now
AI changed the rules. Your decisions haven't caught up yet.
Traditional software is predictable — same input, same output. You can test it, trust it, fix the bug and move on.
AI systems aren't like that. They're probabilistic — and as the hype cools into real, ROI-driving approaches, most teams are still reacting instead of leading. An AI system can produce correct outputs while its internal behavior is already shifting. By the time your evaluations catch it, you're in firefighting mode.
My PhD research, grounded in Signal Detection Theory, gives you two leading indicators that matter before outputs degrade:
Signal Clarity
How well is the system separating real patterns from noise? When that gap narrows — in an AI model or in your organization — decisions get harder without anyone realizing why.
Decision Threshold
The invisible line between "act" and "wait." Has your team drifted more conservative or more permissive — without anyone making that choice deliberately?
These are leading indicators. The system tells you it's changing before you see it in production. The same patterns show up in organizational decisions — teams drifting, thresholds shifting, no one noticing until it's a crisis.
I've spent my career at the intersection of neuroscience, decision science, and engineering. It turns out they were never separate disciplines. They're different lenses on the same problem: how people and systems make decisions under uncertainty.
The Approach
How It Works
2-4 week fixed-scope engagement
I don't do open-ended strategy work or staff augmentation. I do focused, intensive engagements to unstick ONE specific decision.
The Process
Week 1
Surface the patterns
- •Stakeholder interviews (1-on-1 conversations)
- •Review existing analysis and documentation
- •Identify hidden assumptions and conflicts
- •Map decision ownership and constraints
Week 2-3
Create clarity
- •Synthesize 2-4 viable options with explicit tradeoffs
- •Surface what stops, starts, or pauses based on each option
- •Identify success signals and risk indicators
- •Build decision framework with clear ownership
Week 4
Deliver & activate
- •Decision memo (2-5 pages, leadership can act on)
- •30-60-90 action plan with named owners
- •Transition to execution
The Deliverables
Decision Statement
Clear definition: decision, owner, constraints, deadline
Options & Tradeoffs
2-4 viable paths with explicit risks and benefits
Stop/Start List
What pauses, stops, or moves forward under each option
Decision Memo
2-5 page document leadership can act on immediately
Success Signals
3-5 measurable indicators to track post-decision
30-60-90 Action Plan
Named owners, sequenced steps, clear milestones
Who It's For
Is This Your Situation?
You have a high-stakes decision that's been stuck for months.
The decision has:
- •Budget approved but no movement
- •Multiple stakeholders with competing views
- •Analysis paralysis (you have too much data, not too little)
- •Everyone has input, but no one can make the call
- •Pressure from leadership to 'just decide already'
And you're:
- •Committed to making the decision (not delaying it)
- •Ready for clarity, not more analysis
- •Willing to surface uncomfortable truths
- •Looking for a path forward, not validation of what you already think
If this sounds familiar, let's talk.
If you're looking for staff augmentation, ongoing strategy consulting, or someone to tell you what you want to hear — I'm not the right fit.
Proof
Why Trust Me With Your Decision
Research Background
PhD, Behavioral Neuroscience
University of Illinois Chicago
10 years studying how brains process signals under complexity, cognitive load, and ambiguity.
Rare combination: behavioral science + computer science + engineering leadership.
MS, Computer Science
University of Illinois Chicago
Modeled early visual cortex development using signal processing to understand how initial neural parameters influence perception throughout life.
Executive Leadership
Fractional CTO & Startup Advisor
Multiple startups (confidential)
Senior Director of Engineering (2023-2025)
Led 35+ engineers across 5 national brands. Built AI-powered analytics platform and unified web platform increasing team stability.
Director of Engineering (2020-2023)
Led platform performance optimization achieving 87% improvement in Time to Interactive and 96% reduction in blocking time.
Director of Software Engineering (2014-2020)
Built and scaled engineering teams and technical infrastructure.
Proven Outcomes
AI-Powered Analytics Platform
Executive analytics system providing C-suite visibility into team health and performance.
Core Web Vitals Optimization
- Lighthouse Score: 1 → 90+
- Time to Interactive: 29.9s → 3.9s
- LCP: 27.2s → 4.7s
- Total Blocking Time: 96% reduction
Platform Standardization
Unified web platform consolidating bespoke sites, increasing team stability and productivity.
Next Steps
Ready to Unstick Your Decision?
Let's start with a 30-minute conversation.
I'll ask about:
- •What decision is stuck
- •How long it's been stalled
- •Who the key stakeholders are
- •What you've tried already
- •What success looks like
You'll get:
- ✓Clarity on whether this approach fits your situation
- ✓Initial observations about potential patterns
- ✓Transparent assessment of whether I can help
No pressure. No pitch. Just honest conversation.
FAQ
Common Questions
Is this hourly or project-based?
Project-based, fixed scope. No hourly billing, no scope creep. Optional capped advisory blocks available after the diagnostic if needed.
Do you implement or staff teams?
No. I design decision rights, operating model, and role needs. Your teams execute. I can support candidate evaluation on a scoped basis.
What if we don't know the right question yet?
That's common. I scope the diagnostic to identify the 1-2 decisions leadership must make next and define success signals.
What happens after the diagnostic?
If needed, I can run a time-boxed operating model sprint to enable execution. Most teams move forward independently with the decision memo and action plan.
Hey, if you're a founder...
I know what it feels like to carry every technical decision yourself. You don't need another vendor. You need someone who's been in the seat, who gets it, and who can help you think clearly about what comes next. If that sounds like where you are, I'd genuinely love to hear what you're building.
Aurvia serves Early-stage startups through Enterprise engineering organizations. See the full spectrum →
About
About Aurvia
Aurvia is an AI-native strategic leadership consultancy founded by Dr. Jen Anderson — combining behavioral neuroscience, decision science, and a decade of engineering leadership into a practice that helps executives and organizations make better decisions faster.
The Science
PhD in Behavioral Neuroscience (UIC). 10 years studying how brains process complexity, risk, and ambiguity — the same forces that stall organizational decisions.
The Practice
10 years leading engineering teams at scale — from Director through Senior Director and Fractional CTO. I've been in the seat where these decisions get made.
The Mission
Clarify decisions, accelerate execution, and build sustainable AI capability — from early-stage startups through enterprise engineering organizations.
Learn more about Dr. Jen Anderson: andersonnjen.com →