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Case study  /  AI product design  /  iCEV

Insights first. Dashboards second.

I designed a learning co-pilot that reads the data overnight and tells educators where to start each morning, with the evidence one tap away.

Role
Lead product designer
Scope
Concept, interaction design, AI behavior, prototype
Platform
Web · Admin, Teacher and Corrections views
Status
Working prototype, in progress

01 / The problem

The data was all there. The next step wasn't.

iCEV's reporting was built like a library: a deep shelf of reports, each with its own filters, each answering a question you already had to know to ask. An administrator preparing for a certification window had to guess which report to open, set the filters, read the table, and only then decide what it meant.

Teachers had even less time. They didn't want a report. They wanted to know who needed help and what to reteach on Monday.

What people were really asking

“Who needs help before certification?”

“Are we getting value from our licenses?”

“What should I reteach this week?”

Three people, three roles, one shared frustration: the answer sat behind the question.

02 / The idea

Lead with the decision. Keep the data one tap away.

Flip the model. Instead of asking people to dig for meaning, let the product do the first pass and show its conclusions up front, then let anyone open the evidence behind each one.

Before · report first

01Work out which report holds the answer
02Set the filters: course, campus, date, role
03Read the table and compare it to what you remember
04Decide what it means
05Figure out what to do about it

After · insights first

01Open the page. Sam has already reviewed the data and ranked what matters.
02Check the evidence only when you want to, inline, without leaving the page.
03Act. Open the full report or export, with the filters already set.

Five steps become three, and the hardest one, deciding what the data means, is done first and shown openly.

Sam, the learning co-pilot: a friendly cartoon character in a cowboy hat and glasses, hands on hips

03 / Meet Sam

A co-pilot, not an oracle.

Sam is a new character introduced with this product as the face of the experience. An approachable guide helps a dense analytics tool feel like a conversation with a sharp colleague rather than a control panel.

The character is friendly, but the writing is the real design work. Every line Sam says follows four rules.

01Plain sentences. No jargon, no hedging filler.
02The number that matters first. One figure, in context.
03Always a next step. “Following up now gives teachers about five weeks.”
04Never acts alone. Sam recommends. People decide.

04 / How it works

One page that behaves like a morning briefing.

A · The greeting

Sam opens with the one thing that matters today.

A single sentence, addressed to you by name, with the key number highlighted. It sets the agenda before any chart competes for attention.

B · The priorities

Three ranked cards, each labeled by what kind of news it is.

Needs attention, License ROI, Going well. Color and icon do the sorting before you read a word, and good news earns a place so the feed never feels like an alarm.

C · The evidence

“Show supporting data” opens the proof inline.

Trust comes from being able to check. The table appears in place, sorted by what matters, with Export and a deep link to the full report, filters already applied.

D · The question bar

Ask in plain language. Get the same kind of card back.

Suggested questions teach what Sam can do. Typed questions return an answer in the exact format of a proactive insight, so asking feels like extending the feed, not switching modes.

E · Browse when you want to

The familiar numbers stay, underneath.

“All metrics” keeps the sparklines for people who like to scan trends, and the sidebar collapses to give the briefing room to breathe. Insights lead. Dashboards support.

05 / One co-pilot, three jobs

Same pattern. Different priorities.

The layout never changes, so people learn it once. What changes is what Sam reads for, who it speaks to, and which navigation appears.

Oli, the district administrator

Looks across every campus. Sam watches certification readiness, license return on investment and overall pass rates, and frames them for the board.

“133 students need attention before the May cert window.”

06 / Designing for AI

Six rules for putting an assistant in front of real decisions.

When an AI tells someone where to focus, the design problem is trust. These are the principles the interface enforces.

01

Lead with the decision

Headlines state the conclusion, never just the chart. “133 students need attention” beats “Certification readiness overview.”

02

Show your work

Every claim has “Show supporting data” a tap away. People trust what they can check, and they learn when to question it.

03

Suggest, never act

Sam points. Exports, reallocations and outreach stay human decisions, one clearly labeled button away.

04

One pattern everywhere

Proactive insights and typed answers share a single card. Fewer new rules for people to learn, fewer places for confusion to hide.

05

Balance the news

A “Going well” card sits beside the warnings. A co-pilot that only ever sounds the alarm gets ignored.

06

Quiet by default

Three priorities, not thirty. Everything else lives under “All metrics” for people who want to browse.

07 / What happens next

A good concept is a hypothesis. Here is how I'll test it.

The prototype runs on illustrative data, so none of the figures on this page are results. The work now is to find out whether the idea holds up with real people and real numbers.

Measure

Does it shorten the path to action?

Time from opening the page to a first action. How often people open the supporting data. How often an insight leads to an opened report or an export.

Test

Does Sam earn trust?

Pilot with teachers and administrators. Compare Sam's top priorities to what experienced educators would have chosen, and study what happens when Sam is wrong.

Grow

Where does the pattern travel?

Connect live data, add roles beyond the first three, and let Sam notify people when something changes instead of waiting to be opened.