Decision Trace
AI TRANSPARENCYTRUST
Lauren Kelly
Purpose Create a plain-English “decision story” that shows how an AI system reaches its verdict, who can question it, and what happens next. When people see that story, they trust the output and know where to step in.
Intervention type Transparency & trust scaffolding
Lead Roll-out owner (product, ops, or change lead)
Time 90 min mixed in a group
Expected outcomes
User: Understands, in two minutes, how the AI made today’s decision.
Team: Knows exactly where a human can review or override.
Business: Has a one-page trace map ready for auditors and customers.
Organisation: Sets a repeatable pattern for every new model.
What to bring to the session
Decision Storyboard sheet (build in the steps below)
Trust-Gap Cue Cards (see below)
Decision Lane Questions (see below)
Ownership Matrix
Steps
1 | Setup
Step 1: Choose one high-stakes decision
A key activity or process within your team.
E.g., “Approve or decline a loan application.”
Step 2: Gather the right voices
At minimum:
• Data or model owner
• Process owner (ops)
• Risk / compliance rep
• One frontline user (e.g., underwriter)
2 | Build the decision story
Step 3: Fill the six lanes
Move left → right. One sticky per fact.
Source Data: Where does the raw info live?
Prep: What do we tidy or change before input into the AI?
Model Decision Rule: How does the system/AI decide?
Machine Output: What is produced?
Human Check: Who can review or change it?
End Impact: What happens with the project, to the customer or business?
Use green stickies for facts, yellow for assumptions, red for “we don’t know”.
Pull questions from the Decision Lane Questions (in resources below) if the group stalls. Or if they struggle to navigate the more technical side.
3 | Spot trust gaps
Step 4: Place Trust-Gap icons
Put a ⚑ on any box that shows:
• Surprise: Someone just learned this step exists.
• Silence: Data moves teams with no notification.
• No-override: Humans cannot step in even if output looks wrong.
Each ⚑ becomes a potential adoption barrier.
4 | Prioritise and assign
Step 5: Rate each trust gap
Score 1-5 for impact (customer harm, legal risk) and 1-5 for frequency.
Top three scores move to the action plan phase below.
Step 6: Name an owner and date
Add one Accountable name per gap, plus a finish date.
Example Decision Storyboard
Marketing team uses ChatGPT to draft a blog post that positions a new product feature.
Resources
Decision Lane Questions
Card 1
Ask:
Who: Data owner
What: “Where does the very first record come from?”
Why: Reveals Source Data
Card 2
Ask:
Who: Data owner
What: “Who controls access to that source?”
Why: Reveals Source Data
Card 3
Ask:
Who: Data engineer
What: “What do we delete or clean straight away?”
Why: Reveals Prep
Card 4
Ask:
Who: Data engineer
What: “If you skip this step, what breaks?”
Why: Reveals Prep
Card 5
Ask:
Who: Data scientist
What: “Explain the decision rule as if I’m an intern.”
Why: Reveals Model Rule
Card 6
Ask:
Who: Data scientist
What: “Which single setting changes the result most?”
Why: Reveals Model Rule
Card 7
Ask:
Who: Product owner
What: “What exact score or label comes out?”
Why: Reveals Machine Output
Card 8
Ask:
Who: Product owner
What: “What does a bad output look like?”
Why: Reveals Machine Output
Card 9
Ask:
Who: Ops lead
What: “Who can press pause before action happens?”
Why: Reveals Human Check
Card 10
Ask:
Who: Ops lead
What: “How often do they actually step in?”
Why: Reveals Human Check
Card 11
Ask:
Who: Process owner
What: “What customer touchpoint fires next?”
Why: Reveals Real-World Impact
Card 12
Ask:
Who: Process owner
What: “How fast does that step happen?”
Why: Reveals Real-World Impact
Card 13
Ask:
Who: Compliance
What: “Which regulation applies here?”
Why: Reveals Risk (Overall)
Card 14
Ask:
Who: Compliance
What: “When is the next mandatory audit?”
Why: Reveals Risk (Overall)
Card 15
Ask:
Who: Any
What: “Where do users complain first?”
Why: Reveals Improvement
Card 16
Ask:
Who: Any
What: “What small win could double trust?”
Trust Gap Cues
Card: Surprise
What to flag: “I didn’t know this step existed.”
E.g. Stakeholder learns something new mid-map
Card: Silence
What to flag: Data or decisions move between teams with no notice
E.g. Break in communication, e.g., emails like “Who pushed that?”
Card: No-override
Label: No-override
What to flag: Humans have zero chance to intervene
E.g. Loss of trust, users create work-arounds or abandon the tool
Other methods within the trust block
Human-AI Performance
By Lauren Kelly
Contact: lauren@alterkind.com
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Thanks to Nicholas Edell, Valentina Tan and multiple VPs implementing AI for your feedback during development.
LICENSE
Human AI Performance by Alterkind is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on work at alterkind.com
For commercial licensing contact: lauren@alterkind.com