CaseAdvancedDesigning for Uncertainty & Trust / Human-in-the-loop product design / #17

Design the interface for a user supervising three agents at once.

SPARK one benefits claim, three agents, three separate tabs

Corrowmoor County Department of Workforce Services runs three AI agents on every unemployment claim: one drafts eligibility from the application, one scores fraud risk, one checks submitted documents. Rowan Fitzgerald is a caseworker who has to supervise all three for every claim that crosses his desk.

The direct answer
Build one claim-centered screen, not three agent-centered queues. Show all three agents' calls for the same claim side by side, collapsed to one line when they all agree with high confidence, automatically expanded the moment any two disagree or any one is unsure. One action bar decides the claim. Never make a person hold three tabs' worth of context in their head to catch what only shows up when you compare them.
Do this, in order
  1. Build the interface around one claim, not around one agent.Why: a person supervising three agents needs to compare their calls on the same case, and three separate queues make that comparison impossible.
  2. Auto-expand only when agents disagree or any one is unsure, collapse the rest to one line.Why: most claims have all three agents agreeing confidently, and forcing full detail on every claim buries the ones that actually need attention.
  3. Give one combined action bar per claim, not three separate approve buttons.Why: a single decision on a claim shouldn't require three separate clicks in three separate places that can drift out of sync.
  4. Show a real disagreement raw, never pre-blended into one averaged score.Why: a fraud flag and a document mismatch mean different things. Averaging them into one number hides exactly the information a person needs to see.
  5. Leave single-agent detail views in place for deep investigation, just not as the default screen.Why: sometimes a caseworker genuinely needs to dig into one agent's full reasoning, and that view still has a job, just not the front door.

How to answer this, stage by stage

Nobody is grading whether you can draw three panels on a screen. They're grading whether you know what a person can and can't hold in their head across three separate places.

Stage 1
Scope it to one claim, one caseworker
Say it like this
"I'll ground this in a county benefits office, where three agents work every unemployment claim, eligibility drafting, fraud scoring, and document checks, and one caseworker supervises all three."
Why this works
Keeps "supervising three agents" from turning into an abstract dashboard exercise.
Stage 2
Say your structure out loud
Say it like this
"I'll use SPARK. Situation, how it works today. Payoff, the habit I want to build. Anchor, the one design decision. Risk, what breaks first. Keep out, what waits."
Why this works
Signals a design method, not a list of screen ideas.
Stage 3
Show today's workflow, without the fix
Say it like this
"Right now, each agent has its own queue and its own tab. Rowan clears the eligibility queue, then the fraud queue, then the document queue, one at a time, holding each claim's context in his head across all three."
Why this works
Grounds the design in what's actually broken, not an assumed problem.
Stage 4
Name the habit you actually want
Say it like this
"I want Rowan to decide a claim once, with all three agents in view, instead of clearing three separate queues and hoping nothing important got missed in the gap between them."
Why this works
Names the payoff as a real behavior change, not a UI preference.
Stage 5
Give the anchor, the one decision
Say it like this
"One claim-centered screen. All three agents' calls shown together, collapsed to a single line when they agree confidently, auto-expanded the moment two disagree or one is unsure. One action bar decides the whole claim."
Why this works
This is the direct answer, concrete enough to sketch on a whiteboard.
Stage 6
Say what breaks if you're wrong
Say it like this
"If every claim shows full detail from all three agents by default, the common case, where everyone agrees, gets buried in noise, and Rowan starts skimming everything, including the claims that actually need him."
Why this works
Shows the anchor was designed against its own most likely failure.
Stage 7
Say what you're leaving out on day one
Say it like this
"I wouldn't auto-blend the three agents' calls into one averaged confidence score when they disagree. Averaging a fraud flag with a document mismatch hides what the disagreement is actually about."
Why this works
Shows scope judgment about what stays a human decision.
Stage 8
Close on the one line
Say it like this
"Supervising three agents isn't three jobs done back to back. It's one job, seeing where they disagree, and that only works if the screen is built around the claim, not around the agents."
Why this works
Restates the direct answer in one breath, ready for a follow-up.

Let's learn

Here's what happens when three helpful things all compete for the same five minutes of someone's attention.

Corrowmoor County's benefits office runs three separate AI agents on every unemployment claim. One reads the application and drafts an eligibility category. One scores the claim for fraud risk. One checks the uploaded pay stubs and ID against what's required. Rowan Fitzgerald reviews all three before a claim gets approved.

Hand sketched flow diagram titled Today, without the anchor. Four boxes: Claim enters three queues, Reviews eligibility tab, Reviews fraud tab, Reviews document tab blind to others highlighted.
Same claim, three doors. Nothing in any one door shows what's behind the other two.

Before the agents, Rowan handled every part of a claim himself, reading the application, checking documents, watching for fraud patterns, one claim fully at a time. Slower, but never split across three separate places.

Now each agent has its own queue and its own screen. Rowan clears the eligibility queue in the morning, the document queue after lunch, the fraud queue whenever it fills up, each one entirely on its own.

Here's the turn: the three agents are each doing their job well. The problem shows up in the gap between them, the claim where the fraud agent raises a flag in one tab while the document agent quietly approves the same claim in a completely different tab, and nothing on either screen tells anyone to look at both.

Claims with a real cross-agent disagreement that got approved without anyone seeing the conflict
50% 25 0 40% Three separate queues 4% Unified claim view
Same three agents, same claims. Only the screen they were shown on changed.
Average seconds to review one claim, as daily caseload grows
150 sec 75 0 40 claims/day, 45 sec 140 claims/day, 140 sec Unified view, 52 sec
Three separate queues get slower as volume grows. One unified view barely notices the difference.
The decision I would take back Each agent shipped as its own product, built by a separate team, each with its own dashboard. Early on, one screen had a sidebar showing what the other two agents said about the same claim, but it got cut to simplify each team's own launch, since wiring three teams' data together was hard and each queue shipped faster alone. That made sense when there was one agent live and no cross-agent conflicts to catch. It stopped making sense the day all three launched together.

What I would leave alone: a caseworker who genuinely needs to dig into one agent's full reasoning, say, exactly why the fraud model flagged a claim, still needs a detailed single-agent view. That view isn't the problem. Making it the only view is.

The lesson: three agents working well on their own can still fail together, in the gap between their screens, and no single agent's own dashboard was ever going to show that gap.

Now here is the same thing as a story

The short version above is what you'd say pitching this redesign to Corrowmoor's IT director. Read this one for how the gap actually cost someone.

Rowan Fitzgerald has worked benefits claims at Corrowmoor for six years. He's good at catching an inconsistent story in an application before he's finished reading it.

When the three agents rolled out, each one made a piece of his job faster. Eligibility drafts appeared in seconds. Document checks that used to take ten minutes took one. He liked all three individually, and cleared each queue without much thought about the others.

Knowledge spark: why would three good agents still fail together? Each agent is trained and measured on its own narrow job, eligibility, fraud, documents, so each one can be genuinely accurate alone. None of them is built to notice a pattern that only exists across all three, because none of them can see what the other two said.

A colleague on Rowan's team cleared her document queue one Thursday afternoon, approving a claim's paperwork because everything on her screen checked out. She had no way of knowing, from that screen, that the fraud agent had flagged the same claim in a different tab an hour earlier, one she hadn't gotten to yet.

Hand sketched labeled parts diagram titled The anchor, close up. Center document icon labeled Unified Claim View, with four callouts: eligibility draft, fraud risk score, document status, one action bar.
Three agents' calls, one screen. Nothing new is being computed, only shown together.

A routine county audit weeks later caught the mismatch, a genuinely fraudulent claim that had been fully approved, one piece at a time, by two different queues that never once talked to each other. Nobody had done anything wrong. The screens themselves made the miss almost inevitable.

Hand sketched metaphor scene titled The day it is wrong. Left, a gauge icon labeled TOO MUCH, caption every claim fully expanded. Right, a box icon labeled JUST RIGHT, caption only disagreement expands.
Both screens show everything the agents know. Only one of them is usable at real volume.
Nobody missed the fraud flag. The screen that would have shown it simply never existed.

With the redesigned view, that same claim appears once, as one entry, with the fraud flag and the document status sitting side by side, auto-expanded the moment the two disagree. Rowan's colleague sees both signals in the same glance she used to give only the document status, and the claim gets escalated instead of quietly approved.

Hand sketched decision tree titled What we left for later. Root labeled Two agents disagree. Two branches: show raw disagreement leads to Human decides, auto blend a compromise score leads to Hides the real disagreement.
The tempting shortcut was the one we didn't take.

I let each team ship its own screen because that was the fastest way to get three agents live. It took a routine audit, and a claim two people had each partly seen, to notice that "each screen works" and "the whole system works" were never the same claim.

SPARK, in one screenNot a lecture on multi-agent dashboards. SPARK is what tells you whose head the context lives in.

S
Situation. How it works today.
Three agents, three queues, three screens. Rowan holds each claim's context in his head across all of them.
Grounds the design in a real, current gap.
P
Payoff. The habit to build.
Decide a claim once, with all three agents visible together, instead of clearing three separate queues in sequence.
Names what success actually looks like, not just a metric.
A
Anchor. The one decision.
A claim-centered screen, collapsed by default, auto-expanded on disagreement, one combined action bar.
This is the hardest step, and the direct answer to the question.
R
Risk. What breaks first.
Showing full detail on every claim by default buries the common, agreeing case in noise, so the ones that need attention get skimmed too.
Shows the anchor was built to survive its own most likely failure.
K
Keep out. What waits.
No automatic blending of disagreeing agents into one averaged score. Disagreement stays visible and raw.
Shows scope judgment about what stays a human decision.

The recap, one line per letter: situation is three agents in three disconnected screens, payoff is one decision per claim instead of three, anchor is a claim-centered view that collapses agreement and expands disagreement, risk is burying the common case under too much default detail, and keep out is refusing to auto-blend a disagreement into a false single number.

And if you want to be sure it really works, try it somewhere elseSame five letters, a factory floor instead of a benefits office.

Ashgrove Precision Manufacturing runs three AI quality checks on every finished part: a visual defect scan, a dimensional-tolerance check, and a packaging-compliance check. Ludmila Petrova supervises all three from the line's quality station.

Mapped onto SPARK: situation is the same shape, three separate agent screens for the same part; payoff is Ludmila approving or holding one part with all three checks visible together, instead of clearing three separate pass or fail lists; anchor is the identical fix, a part-centered view, collapsed when all three checks agree, expanded the moment any two disagree; risk is the same, full detail on every part buries the rare real conflict under the volume of parts that pass everything; keep out is the same refusal, never auto-blend a visual flag and a tolerance miss into one score, since a person needs to see which check actually failed and why.

Hand sketched quadrant titled Which parts need Ludmila's full attention. X axis how much the three checks agree, Y axis how confident each check is. Items placed: routine part all agree high confidence, disagreement part low agreement highlighted, low confidence scan low confidence flagged, borderline tolerance low agreement.
Same logic as the benefits office. The upper left corner is where a person's real attention belongs.

Swap the trigger and it still runs.
Speed: an interviewer caps you at sixty seconds. Say "build one screen around the claim, not three around the agents, collapsed unless they disagree," and stop.
Cost: there's no budget to rebuild all three teams' dashboards this quarter. Say so honestly, and start with a thin layer that just flags cross-agent disagreement on top of the existing three queues, since even a flag alone closes most of the gap.
The model gets better, for real: if all three agents' accuracy improves, disagreements between them get rarer, which makes the collapsed default view even more valuable, since there's even less reason to show full detail on the common case.

Where people run it wrong.
They let each agent ship with its own dashboard because that's the fastest way to get each one live, and never revisit it once all three are running together.
They average or blend multiple agents' scores into one number, hiding the specific thing they actually disagree about.
They build the full multi-agent detail view for every case, burying the rare real conflict under the volume of routine agreement.

How to use it live. When someone asks how to design for supervising multiple agents, ask one question first: if two of them disagreed on the same case right now, would anyone actually see it? If the honest answer is no, that's the whole design problem, before anything else.

Flashcards (tap any card to flip it)

1 · THE FRAMEWORK
What framework fits a "design an interface for supervising multiple agents" question?
Tap to flip
ANSWER
SPARK: situation, payoff, anchor, risk, keep out. Design against the failure before you build, running forward.
2 · THE PERSON
Who is this answer about?
Tap to flip
ANSWER
Rowan Fitzgerald, a caseworker at Corrowmoor County Department of Workforce Services, supervising three AI agents on every unemployment claim.
3 · THE PAYOFF
What habit does this design want to build?
Tap to flip
ANSWER
Deciding a claim once, with all three agents visible together, instead of clearing three separate queues one after another.
4 · THE ANCHOR
What's the one concrete design decision here?
Tap to flip
ANSWER
A claim-centered screen, collapsed to one line when all three agents agree confidently, auto-expanded the moment two disagree or one is unsure.
5 · THE RISK
What breaks the first time this design is wrong?
Tap to flip
ANSWER
Showing full detail from all three agents by default buries the common, agreeing case in noise, and everything starts getting skimmed, including what needs attention.
6 · THE NUMBER
Fill in the blank: before the unified view, ___ percent of claims with a genuine cross-agent disagreement were approved without anyone seeing the conflict.
Tap to flip
ANSWER
40 percent. It fell to 4 percent after the unified claim view shipped.
7 · THE REPLAY
Same fraud-flagged claim, redesigned screen. What changes?
Tap to flip
ANSWER
The fraud flag and document status sit side by side, auto-expanded on disagreement, so the claim gets escalated instead of quietly approved.
8 · CROSS PRODUCT TRANSFER
Section 4 answers this again for a different product. Which one, and what's the same anchor?
Tap to flip
ANSWER
Ashgrove Precision Manufacturing's three-check quality station. Same anchor: a part-centered view, collapsed when checks agree, expanded when they don't.

Check yourself Score: 0 / 0

True or false
1. True or false: each of Corrymoor's three agents being individually accurate is enough to guarantee the overall system catches every problem.
  • True
  • False
Show hint
Look at the knowledge spark.
Show answer
False. Each agent can be accurate alone and the system can still miss things that only show up when you compare all three on the same claim.
Multiple choice
2. Why shouldn't the interface auto-blend three disagreeing agents into one averaged score?
  • A. Averaging scores is too computationally expensive.
  • B. A fraud flag and a document mismatch mean different things, and blending them hides what the disagreement is actually about.
  • C. County regulations forbid combining agent scores.
  • D. Only one agent is allowed to make the final call.
Show hint
Look at the Keep out step.
Show answer
B. The design deliberately keeps a genuine disagreement visible and specific, rather than smoothing it into a false single number.
Fill in the blank
3. Fill in the blank: after the unified claim view shipped, the rate of missed cross-agent disagreements fell from 40 percent to ___ percent.
Show hint
Look at the bar chart in "Let's learn."
Show answer
4 percent. A tenfold drop, from simply showing the same three agents' calls on one screen instead of three.
Short answer, apply it yourself
4. Think of a job where you juggle multiple tools or dashboards for the same task, calendars, project boards, chat threads. Where would a "collapsed unless they disagree" view actually help?
Show hint
Think about a moment two of your tools quietly contradicted each other and nobody noticed right away.
Show answer
Model answer: Most people can name a moment two systems, a calendar and a booking tool, two chat threads about the same decision, quietly disagreed, and a single combined view would have surfaced that immediately instead of leaving it to be found later.
Short answer, where it wouldn't matter
5. Name a part of Rowan's workflow where this redesign genuinely doesn't need to change anything.
Show hint
Look at "what I would leave alone."
Show answer
Model answer: The detailed single-agent view, for when Rowan genuinely needs to dig into exactly why one agent flagged something. That view still matters, it just shouldn't be the default front door.
Short answer, the number question
6. If Corrowmoor added a fourth agent to the workflow, would the same claim-centered design still hold up? What would need to scale?
Show hint
Think about what the collapse-versus-expand rule actually depends on.
Show answer
Model answer: The same principle holds, collapse on agreement, expand on disagreement, but the disagreement detection itself needs to scale across four agents instead of three, and the collapsed summary line needs to stay readable with one more voice in it.
Before you close the answer
Why this works
Tests whether you'll design for the gap between multiple agents, not just for making each individual agent's screen nicer.
Follow-up traps
"Won't collapsing most claims to one line make it easy to miss something real?" Response: the collapse only applies when all three agents genuinely agree with high confidence, and any disagreement or low confidence auto-expands, so the collapsed case is the one that's actually safe to collapse.

"Why not just have the agents talk to each other automatically and resolve disagreements themselves?" Response: an automatic resolution hides exactly the kind of disagreement a person needs to see, which is why the design keeps it raw and routes it to a person instead of a fourth model doing the deciding.
If pressed
Corrowmoor's real fix also logs which specific pair of agents disagreed most often, since it turned out the fraud and document agents conflicted on a predictable category of self-employed claimants, a pattern worth fixing upstream in both models, not just downstream on the screen.
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