MODERN DRILLING OPS
Modern Design Drilling Ops
Enterprise UX
Oil & Gas
system Design
Bolt on AI
0 to 1
My Role
01
Owned design from research to delivery
02
Established object model, system and interactive design
03
Architected UI across 6 surfaces
04
Research and strategic sprint facilitation to create insights and clarity
05
Owned design decisions and partnered with product and delivery on roadmap
06
Led handoff and interaction with engineering & PM
Why it Mattered
Millions $
per run
“
— Halliburton Drilling Engineer
5
Separate Apps
100+
Regulated Tasks
High
Risk & Regulatory
Low
Productivity
-
Limited Scale
!
Market Pressure
Design Decisions
Three moves I made to build system confidence
AI-Generated erodes design authority
the Push
A design lead proposed polished AI-generated screens days before sprint close. Accepting the work as is would have been faster and avoided debate.
I challenged the design in ways the team hadn't accounted for: wholistic system impacts, tradeoffs and how frequency changes user expectations. I led the team toward a workflow grounded in system logic.
Demonstrated
Balancing competing goals with taste
the Push
Development lead optimized performance. Product pushed for a modern experience. The initial UX direction favored a single interaction pattern.
Demonstrated
Define ambiguous requests
the Push
Product asked for a "confident yet modern" feel with no measurable direction. The tension was design toward a mood, not a spec.
i turned a vague aesthetic ask into a structural system. i cut friction by reduce data-entry effort across the product. I made progress personal and rewarding, not just a status bar.
Demonstrated
System Design
Confidence & clarity in moments of pivotal decision
I spotted the same common struggles causing hesitation in moments of decision across the workflow.
1
Define
2
Assess Risks
3
Design & Test
4
Approve
choose well
uncertainty
build report
rework
input risks
judgement
➔
Manage projects on cloud server
➔
Name, manage, edit many versions of design
➔
Share work across multiple users
➔
Improved decision quality
➔
Clear action trigger from screen
➔
Create, Read, Update, Delete and other controls
↑adoption
REDUCED TOOL SWITCHING
Continuity
↓clicks
EFFORT
Performance
Repeated
Ambiguous Design using aI Prompts
-Reaction from Lead Product Manager
Workflow Build a Drilling tool
Drilling Tool
BHA Tool
Logistics
Customize
Preview Tool
Load Project
Change users minds so they use AI
projected DOS tasks to reach confident assisted decision
3 features gave users the confidence to use AI
Risk Score
Because Engineers are right to be skeptical of AI suggestions have graded certainty visible on the screen. I built severity grade, frequency counts, and expanded rationale. No need to open spreadsheets to calculate.
Risk Visibility pattern
high
Lost circulation
82% Confidence
Found in 7/7 wells • [Rationale]
Deliberate user controls
Because constant screen refresh creates distraction and stacks up token costs, AI runs only when a button is clicked. Engineer stays in control.
restraint
AI Copiolt
Autosave
Review
refresh
AI
EDit
Ready
Completed
user • Date • Time
Frictionless undo
Because action are reviewed by multiple team mates with different points of view, every AI suggestion is undoable. Remove, edit undo. the view stays user-editable. Reversible actions removes the stall of making a decision.
REversible Decisions
Summary
01
Establishing user trust →
reduced resistance to change
The team stopped debating taste and started referencing the principles.
02
Human controls on AI →
reduced errors, task time, costs
Depth-based hierarchy made the next right move obvious on every screen.
03
Scalable design components →
boost team confidence and alignment
The unified stack became the team’s primary surface within the first week.
04
Efficient system →
focus quality and collaboration increased
The unified stack became the team’s primary surface within the first week.
Modern
Look & Feel
Personalized
Workflow
Expert Approach
Design Thinking
Platform
Single System
5 → 1
17 → 5
~80%