Case study · John Deere Financial · Jan–Aug 2021

When did ‘better’ actually mean better?

John Deere Financial's credit analysts work in ABTools all day. The new web version looked cleaner, but was it actually easier to use? I tested the same four power users before and after launch. Usability jumped. Satisfaction barely moved, and the reason came down to one feature.

  • Longitudinal study
  • SUS benchmark
  • Interviews
  • Thematic analysis
RoleUX Researcher
TeamJDF UX team + ABTools product team
TimelineJan–Aug 2021 · 2 waves, 4 power users

Usability score (SUS, out of 100)

68 is the industry average. The old tool sat below it; the new one scored well above. Four users, so it's a strong signal, not final proof.

same 4 people, 8 months apart ↑

On this page

The short version

Usability rose from 60 to 85.6 and improved on all six dimensions. Satisfaction moved least (+3.8), and the interviews traced it to one feature: Notes.

  • +25.6SUS points, 60 → 85.6
  • +35System performance, the biggest gain
  • +3.8Satisfaction, the smallest gain
  • 16 of 35Remaining issues were about Notes
Problem
A redesign that looks newer isn't proof it works better, especially for experts with up to 20 years of habits.
My role
UX Researcher. Planned the study with the JDF product team, ran both waves, analysed and presented the results.
Team
JDF UX team, ABTools product team
Timeline
January to August 2021
Methods
Two-wave within-subjects study · SUS · six-dimension questionnaire · interviews · thematic analysis. Wave 2 came after 2–3 months of real use.
Outcome
SUS 60 → 85.6. All six usability dimensions improved. 35 remaining issues found, 16 of them about Notes.
Decision it informed
Notes became a high-priority backlog item, and the team moved toward continuous research after launch.
Prologue

A UX team people liked, but didn’t yet rely on for evidence

While this study was running, the JDF UX team surveyed 40 product team members about working with UX (June 28 to July 6, 2021). The answers showed a gap this study could help close.

Of 40 respondents, 33 valued UX for a user-centred mindset but only 11 for evidence-based decisions.
BenefitCount (of 40)
Helps me think with a user-centred mindset33
Helps me plan product development efficiently22
Helps me plan the roadmap19
Helps me make evidence-based decisions11
Show the data
BenefitCount (of 40)
Helps me think with a user-centred mindset33
Helps me plan product development efficiently22
Helps me plan the roadmap19
Helps me make evidence-based decisions11
35 of 40 had worked with a UX practitioner, and 27 were very satisfied.
Top asks: more dedicated UX resources (22) and UX coaching (14).

liked for mindset… rarely for evidence. This study had to show the numbers.

Chapter 01 · The problem

Experts don’t forgive a pretty slowdown

Credit analysts make same-day decisions, sometimes in a 15-minute review, while taking 10 to 20 calls a day. Some had used the desktop ABTools for over 20 years. A post-launch survey alone couldn't tell real improvement apart from novelty or change aversion.

That was the decision to inform, and a generic post-launch survey could not answer it. Ratings taken right after a migration mix three things together. A one-shot study tells you about the learning curve, not the product. A two-wave study with a deliberate familiarization window can separate them.

Same day
Typical decision window
15 min
Shortest application review
10 to 20
Calls a day
136 items
In one participant's queue
Fig. 1. The same Agreement tab, before and after. Real screens, customer data blurred.
Previous ABTools desktop app on the Agreement tab: ten tabs across the top and dozens of loan fields packed into three columns. Customer details are blurred.

Before · desktop app

Ten tabs and dozens of fields, many never used in underwriting.

“There are 10 tabs in front of me, which one do I need?”

Current ABTools web app on the Agreement tab: customer summary at the top, five tabs, and merchant details grouped under a side menu of four sections. Customer details are blurred.

After · web app

Same tab names, fewer fields, grouped into four sections.

“It is cleaned up, it is easier to find quickly.”

Bias

Novelty effect

New feels good, simply because it is new.

Bias

Change aversion

New feels wrong, simply because it is unfamiliar.

Signal

Genuine usability change

What is left once the first two have faded.

The questions I set out to answer

RQ. 1

Did usability actually improve across the six dimensions the team cared about?

RQ. 2

Which dimensions improved most, and which barely moved?

RQ. 3

Where does friction remain in the daily workflow?

Chapter 02 · The plan

Measure the same people before and after

I planned the study with the JDF product team inside our usual discover → define → develop → deliver process. The key choice was timing: capture a baseline before launch, then wait until people had really used the new tool.

Two waves, same people. The same four participants evaluated both systems with identical instruments, in January (old ABTools) and August (new ABTools). Using the same people removes differences between groups as an explanation for any change.

A familiarization window. Participants began using the new ABTools in their real jobs in May and June. By the August evaluation they had about 2 to 3 months of working experience with it, enough for novelty and change aversion to fade.

Fig. 2. Two waves, eight months apart, with a familiarity window in between.

Study timeline

  1. January 2021

    Wave 1: baseline

    Interviews, SUS and the six-dimension questionnaire on the old desktop tool.

  2. May–June 2021

    Familiarity window

    Participants used the new web tool in their real jobs for 2–3 months.

  3. August 2021

    Wave 2: post-evaluation

    The same instruments, the same four people, on the new tool.

waiting = fewer "it's new, I hate it" answers

Fig. 3. Where the study sat in the UX team’s process. Redrawn from the team’s “Ideal Future State” board.
  1. Wave 1 · Jan 2021 — Baseline on the old desktop tool
    DiscoveryDiscover → Define
  2. May–Jun 2021 — New web tool in real daily use
    DeliveryDevelop → Deliver
  3. Wave 2 · Aug 2021 — Same people, same questions, new tool
    MeasureDid it actually work?

findings feed the backlog and the next round

baseline = part of discovery · wave 2 = measuring the delivery

Instruments

System Usability Scale

Standardized 10-item scale (Lewis and Sauro, 2009), benchmarkable against industry (68), Global IT (63) and the FY21 target (67).

Custom Likert questionnaire

Six sections: Satisfaction, Ease of Use, Learnability, System Performance, Human Error Support, Productivity. Reported as % favorable.

Open-ended probes

Verbatims explain why scores moved, and surface what no rating scale asks about.

Fig. 4. The SUS sheet as used in both waves, with a comment column beside every rating.
The SUS questionnaire as used in the sessions: ten statements rated from 1, strongly disagree, to 5, strongly agree, with a comment column to understand each rating.
  1. 1 Intro, role, years with ABTools, hours a day
  2. 2 Six JDF dimensions, each rated, then "why?"
  3. 3 Improvement opportunities, open-ended
  4. 4 SUS, the 10 items
Ratings show how much. The “why?” after each one shows what to fix.

Design decisions, and what each one cost

Decision 1

Within-subjects

Why: Each person is their own comparison, so role and tenure don’t muddy the change.

Cost: Fixed order. The old tool was always rated first.

Decision 2

Familiarity window

Why: Lets novelty and change aversion fade before wave 2.

Cost: Other things change over months, too.

Decision 3

One power user per role

Why: Depth and full role coverage from people who live in the tool.

Cost: Four people can’t be generalised.

Decision 4

SUS + custom dimensions

Why: SUS gives a benchmark; six JDF dimensions show where it changed.

Cost: The custom scale isn’t validated.

Decision 5

% favourable reporting

Why: Easy for leadership to read at a glance.

Cost: Hides the spread of answers.

Decision 6

Interviews alongside scores

Why: Scores say how much; open probes say why.

Cost: One coder, no second check.

Show as a table
DecisionWhyCost
Within-subjectsEach person is their own comparison, so role and tenure don’t muddy the change.Fixed order. The old tool was always rated first.
Familiarity windowLets novelty and change aversion fade before wave 2.Other things change over months, too.
One power user per roleDepth and full role coverage from people who live in the tool.Four people can’t be generalised.
SUS + custom dimensionsSUS gives a benchmark; six JDF dimensions show where it changed.The custom scale isn’t validated.
% favourable reportingEasy for leadership to read at a glance.Hides the spread of answers.
Interviews alongside scoresScores say how much; open probes say why.One coder, no second check.
Chapter 03 · The people

Four roles, decades of muscle memory

One daily power user per role, from 3.5 to more than 20 years with ABTools.

ABTools is part of their job, so they can't leave when something frustrates them. Their friction stays in the system, which is exactly why it's worth studying. Reviews can take as little as 15 minutes, so minutes of friction are a large share of each decision.

P1
Senior Credit Analyst

Decision-maker analyst

4 to 6 hrs / day
3.5 yrs experience

Reviews applications, makes same-day decisions, spreads financials. Needs scannable notes and a fast personal worklist.

ABTools · MARS · CreditPath
P2
Credit Analyst, credit admin

High-volume admin analyst

All day
Long-time user

Admin work that differs from normal analysts; dealer and customer calls. Needs speed and no routing detours.

ABTools · ACAPS
P3
Credit Processing Specialist

Processing specialist

2 to 3 hrs / day
15+ yrs experience

Turndown and counteroffer letters, bank rating, FileNet import. Needs reliable handoffs and errors that say what to do.

ABTools
P4
Manager, Retail Credit Delivery Admin

Manager

2 to 4 hrs / day
20+ yrs experience

Sets up worklists, sets priority order, trains staff. Needs queue visibility, search that finds everyone, and export.

ABTools · ACAPS

User profiles, not personas: one person per role. Bars show tenure with ABTools.

Chapter 04 · The workflow

Following one credit decision from queue to handoff

I mapped what participants told me onto their daily workflow. Most remaining friction clustered around reading history and moving through queues.

Fig. 5. A simplified workflow, left to right, with the friction participants described pinned to each step. Step 3 is the hotspot.
Step 1

Work the queue

  • Can't find own name in employee search
  • Queue position lost after leaving
Step 2

Open an application

  • "Create new credit request" button didn’t work
Step 3 · hotspot

Read the history

  • Notes squashed into one paragraph
  • Notes text doesn't scale with zoom
Step 4

Decide and route

  • Route-to-bottom option removed
  • Overlays close only with X
Step 5

Letters and handoff

  • FileNet opens in a separate tab
Fig. 6. Step 1 starts on the Involved Parties tab. Real screens, customer data blurred.
Previous ABTools desktop app on the Involved Parties tab: a small parties table on the left and a long form of party details on the right. Names, tax ID, address and phone are blurred.

Before · desktop app

List and form squeezed side by side.

Current ABTools web app on the Involved Parties tab: customer summary at the top and a clear table of parties with name, role and CIP status, with paging. Names and IDs are blurred.

After · web app

One clear table, details open on demand. Customer summary stays visible.

Chapter 05 · What the numbers said

Usability went up. Satisfaction barely moved.

SUS rose from below every benchmark to above all of them. Every dimension improved, but by very different amounts. With four people, these are descriptive results, not statistical proof.

SUS rose from 60.0 to 85.6, passing the Global IT average (63), the FY21 target (67) and the industry average (68). n = 4.
MeasureScore
Previous ABTools60
Global IT average63
FY21 target67
Industry average68
Current ABTools85.6
Show the data
MeasureScore
Previous ABTools60
Global IT average63
FY21 target67
Industry average68
Current ABTools85.6
All six dimensions improved. System performance gained most (+35.0); satisfaction least (+3.8).
DimensionBefore %After %Change
System Performance62.5%97.5%+35
Human Error Support56.6%75%+18.4
Ease of Use75%88.7%+13.7
Learnability80%92.5%+12.5
Productivity71.2%82.5%+11.3
Satisfaction71.2%75%+3.8
Show the data
DimensionBefore %After %Change
System Performance62.5%97.5%+35
Human Error Support56.6%75%+18.4
Ease of Use75%88.7%+13.7
Learnability80%92.5%+12.5
Productivity71.2%82.5%+11.3
Satisfaction71.2%75%+3.8

performance was the big win · satisfaction lagged → why? see chapter 06

Biggest gain · +35.0 pts

System Performance: the kick-outs stopped.

Before, sessions timed out after an hour of inactivity, cryptic pop-ups closed the system, and VPN conflicts forced re-logins. After, participants reported consistent speed, no kick-outs and no downtime.

One participant added that a few buttons still didn't work and gave no sign of it, and said that once those worked the score "could be 100."

Smallest gain · +3.8 pts

Satisfaction: specific irritants, not lost familiarity.

The verbatims name concrete problems: jumping between fields, an export workaround, repeated confirmation dialogs and, above all, the Notes feature.

With four participants, a change this small may also reflect a single answer, so I treat it as a signal to watch, not a finding.

Chapter 06 · What people said

The scores said how much. The words said why.

Interviews explained every number. Here is what the same people said before and after.

Thematic analysis of the open-ended probes produced 35 issues in five themes. Nearly half were about one feature that no score pointed to.

System performance

Before

“It will spin and it will close out.”

After

“It hasn’t been down, and it is quicker than old ABTools.”

Ease of use

Before

“Intimidating and overwhelming.”

After

“They got away from a lot of information we never looked at. It is cleaned up.”

Satisfaction, the one that lagged

Before

“It is not great, but it is what we have.”

After

“I don’t feel the notes, they are not convenient.”

Fig. 9. Issues from thematic analysis of both waves. Frequency, not severity.

Notes · 16 (46%)

Comments collapse into one block; small box; "view all" breaks the layout; can't fix a colleague's typo.

Usability · 6 (17%)

Zoom ignores Notes text size; no default comment type; worklist navigation; overlay closes only with X.

Efficiency · 5 (14%)

Own name not found in search; can't compare status history and view log; place lost in the queue; routing detour.

New features · 5 (14%)

Auto-refresh, pin to top, Excel export, a call counter, a FileNet link.

Not working as expected · 3 (9%)

A dead "Create new credit request" button; employee search missed a user; a "don't touch" cursor on a copyable field.

ThemeCount
Notes16
Usability6
Efficiency5
New features5
Not working as expected3
Every participant raised Notes, unprompted.

16 of 35 → the clearest signal in the whole study

35 issues, one loud theme

Fig. 10. The synthesis board, redrawn. Quotes shortened, no names.

Notes 16

  • It shows us a big chunk, it is hard to read.
  • Make the comments box bigger.
  • View all comments: too much at once.
  • Too small to see.
  • Would be nice to fix a typo in someone else’s comment.
  • The previous ABTools was better with the comments.
  • + 10 more notes

Usability 6

  • Zoom doesn’t make Notes text bigger
  • Overlay only closes with the X
  • No default comment type
  • + 3 more

Efficiency 5

  • Search doesn’t find my own name
  • Lose my place in a 136-item queue
  • Route-to-bottom became a detour
  • + 2 more

New features 5

  • Refresh button for new deals
  • Pin my name to the top
  • Export queues to Excel
  • + 2 more

Not working 3

  • “Create new credit request” does nothing
  • Employee search skips me
  • Scary “don’t touch” cursor on a loan number I need to copy

every participant raised Notes without being asked ↑

Beyond the headline

Accessibility

Browser zoom enlarges the rest of the interface but not the Notes text. That fails the intent of WCAG 1.4.4 (Resize text).

Overlays

Notes, status history and the view log open as overlays that close only with X and can't be moved, so users can't compare them with the page behind.

Queue state

Leaving an item in a long queue loses your place, so users go back to the list to find what they were working on.

Routing regression

The old "route to bottom of the list" option is gone, replaced by a detour through another queue.

Chapter 07 · Design deep dive

The Notes problem: formatting is information

Analysts typed comments with careful spacing so others could scan them quickly. The new tool squeezed every note into one paragraph, in a small box, with text that didn’t grow when they zoomed.

The comments are all together. I typed in very well layout with spaces, but it shows us as a big chunk. It is hard to read.

— Participant, wave 2
Fig. 11. Notes as shipped, and the recommended pattern. Illustrative mock with made-up text.

Illustrative mock · made-up text, not customer data

As shipped

ABTools · Credit request · Comments
Involved PartiesAgreementStatus HistoryComments

Spoke with dealer. Customer adding second unit. Requested 2020 statements. Received balance sheet only. Counteroffer: shorter term. Letter sent to dealer.

View all comments
one run-on paragraphfixed 12px textcloses only with X

analysts type spacing on purpose →

The Gestalt principles explain why this matters. Spacing created grouping by proximity, consistent formatting created grouping by similarity, and separate blocks created common regions. Removing those cues turned scanning into reading, which is the cognitive load participants described. It is a finding that does not show up in a quant survey.

Chapter 08 · The verdict

What the redesign got right, and what it missed

I didn't design the new ABTools, but the data shows which of its design decisions worked and which didn't.

Keep4

  • Kept the legacy tab layout and labels

    Experts transferred their muscle memory with little or no training. Learnability +12.5 pts.

    Consistency · recognition over recall
  • Removed unused fields

    Information nobody looked at was cleaned up, and fields now fit underwriting. Ease of Use +13.7 pts.

    Signal-to-noise · figure/ground
  • Moved from desktop to web

    Quicker, no kick-outs, no forced password changes. System Performance +35 pts.

    Reliability · system feedback
  • Simplified error messages

    Clearer than before. Human Error Support +18.4 pts.

    Error recovery

continuity is a feature for experts

Fix10

  • Notes shown as one block in a small box

    Proximity · similarity · common region
  • Notes text doesn't scale with zoom

    WCAG 1.4.4 Resize text
  • Overlays that close only with X

    Modes · modal design
  • Error messages with no next step

    Error recovery
  • Split employee and application queues, lost queue position

    State persistence
  • Route-to-bottom option removed

    Workflow regression
  • "Don't touch" cursor on a loan number people need to copy

    Affordance · signifiers
  • Buttons that fail silently

    Visibility of system status
  • No default comment type

    Sensible defaults
  • FileNet in a separate browser tab

    Context switching
Chapter 09 · From findings to patterns

Fix it once, in the design system

Instead of a list of bugs, I framed the findings as six reusable patterns, so other JDF tools wouldn’t repeat them.

Illustrative sketches · dashed = before, solid = after

1 · Comment display

BeforeRun-on paragraph
AfterSame text with line breaks and dashes

2 · Relative type

Before200% zoom: Notes text stays 12px, other UI grows
After200% zoom: Notes text grows too, everything in rem

3 · Modal standard

BeforeOnly the X closes it.Can’t see the page behind.
AfterMain area + side panel.Esc or outside click closes. Compare side by side.

4 · One error pattern

BeforeError. Operation failed.No reason, no next step.
AfterWe couldn’t save this note.The connection dropped.[Try again]What happened · why · what to do.

5 · List patterns

BeforeSearch: my name → no resultsLeave and come back: back to the top of 136 items
AfterPinned: My worklistRefreshExportSearch includes you, even with 0 items. Your place is kept.

6 · Clear states

BeforeFilled button "Create credit request"Looks active, does nothing.
AfterDisabled-style buttonDisabled look, plus the reason: “Available after the application is saved.”

10 bugs in one tool → 6 patterns every JDF tool can reuse

Show findings and patterns as a table
FindingPattern to fix it once
Notes lose their formattingA comment display that keeps line breaks and spacing, in an expandable text area
Zoom doesn't enlarge NotesType sized in relative units, so all text scales
Overlays close only with X and can't moveA modal standard: dismiss on outside click; a side panel when users must compare
Errors give no next stepOne error pattern: what happened, why, what to do
Search misses users; queues lose your placeList patterns: inclusive search, retained state, pin, refresh, export
"Don't touch" cursor, silent buttonsClear disabled and read-only states
Chapter 10 · Impact

Evidence, not just a launch

Impact 1

Leadership got proof

A benchmarked before/after result instead of “users seem to like it”.

Impact 2

Notes went to the top

The Notes issue became a high-priority backlog item, with a specific fix: keep formatting, enlarge the box, let text scale with zoom.

Impact 3

Research kept going

I recommended a feedback loop, behavioural analytics and research before each release.

This study wasn't designed to show that the redesign worked. It was designed so that if the redesign didn't work, we'd know.
See the survey evidence behind each recommendation
RecommendationSurvey evidenceOf 40
Ongoing feedback loopWant UX support at launch (feedback loops, live testing)26
Passive behavioral analyticsCited evidence-based decision making as a benefit of UX11
Passive behavioral analyticsWant UX support on metrics5
Proactive research before releasesWant UX support in discovery29
More UX capacityAsked for more dedicated UX resources22

Directional only: anonymous, multi-select, no stated response rate, and the UX team surveyed its own support.

Where it led

Later, the UX team’s FY24 objective was to “pave the path for Elite Product UX”. Two of its strategic initiatives were defining UX metrics and building research operations. Studies like this one were the kind of evidence those goals asked for.

Fig. 12. UX team OKRs, FY24 Q2, redrawn without names.
Objective

Pave the path for Elite Product UX with entry points, growth potential, and high-performing expectations.

Key results
  1. 1Each BCA adds one new UX behaviour
  2. 25% growth in recognised products that use the Fuel design system
  3. 3Consolidate UX documentation from 19 BCA solutions into 1
Strategic initiatives
Digital MasteryGrowth in no-regret skills
UX FoundationsOne enterprise UX design system
Productivity GainsDefine UX metrics: definition, adoption, governance
Research OperationsRepository for research standards, personas, journey maps
Shift LeftCost, delivery and risk insights to drive action
Transformation PortalUX roles and paths for success
Chapter 11 · Looking back

What I’d keep, and what I’d add

Limitations

  • Four participants
  • No control group
  • Embedded researcher
  • Attitudes, not behavior
  • Single coder

Next time

During the familiarization window

Diary study

Shows the adaptation curve between the two waves: how ratings change as people settle in, not just where they end up.

Both waves

Task metrics

Time on task, error rate and SEQ give behavioral evidence for the productivity claim, to set beside what people said.

Analysis

Severity ratings

An impact and effort rating for each of the 35 issues, so the backlog is prioritized by harm, not just frequency.

What this taught me

Timing is a method decision.

Asking the same question on day one and after two months of real use gives different answers. Choosing when to measure mattered as much as choosing what to measure.

Small samples buy depth, not proof.

Four power users gave rich, specific feedback, but not statistical certainty. Saying so plainly makes the findings more credible, not less.

The most important finding wasn't in the numbers.

Every participant raised the Notes feature, yet no score pointed to it. The scores told us how much changed; the verbatims told us what to fix.

Continuity is a design decision too.

Keeping the old layout and labels protected 20 years of muscle memory. Good redesigns for expert users change what hurts and leave what works.