02 — Case Study
Designing momentum before designing interfaces — a behavioural study of why self-paced learners quietly fall off, and what would keep them going.
02 — The Change
Proposal accepted · Implementation in progress — outcomes not yet measured
Context — what this is
Decode DFC is a self-paced fellowship learning cohort (DFC = Design for Change). Learners work through modules on their own time over several weeks. The material was strong and joiners were motivated, yet consistency slipped away week after week.
Who it serves
Self-paced adult learners in a multi-week cohort, and the mentors who support them.
My role — what I owned
Key evidence
03 — Research
What changed our understanding?
Field interviews, learner surveys, behaviour observations, and secondary reading on habit formation. Every quote was mapped back to a decision — not a persona.
14
Learner interviews
4
Methods used
22h
Conversation time
60+
Coded observations
Voices from the cohort
“The first week felt exciting. By week three, opening the app started to feel like a task.”
Learner · Cohort 2
“I didn't know if I was behind or ahead. So I stopped opening it.”
Learner · Cohort 1
Research findings
Insight
Learners understood the program goals. What they couldn't see was what came next in their own journey.
Barriers takeaway
Competing responsibilities and unclear next steps consistently reduced weekly participation — long before content difficulty became the reason.
Interview planning and participant tracking used during primary research.
Key Behavioural Insight
The problem wasn't poor content.
The problem was loss of momentum.
Motivation stayed high on day one. What eroded — quietly, week after week — was the small daily reason to return. Uncertainty grew. Confidence faded. Learners didn't quit; they simply stopped starting.
04 — Strategy
How did research influence our decisions?
Before recommending anything, we reframed the brief. Every principle below is traceable to a specific pattern in the research.
The reframe
How we got from research to recommendation
A traceable chain
01 · Research
14 interviews · surveys · behaviour observation
02 · Behaviour Pattern
Silent drop-off between weeks 2 and 4
03 · Root Cause
Loss of momentum — not loss of interest
04 · Design Principle
Design for Momentum · Reduce Uncertainty
05 · Recommendation
Strategic interventions, not more features
Design principles
01
Design for Momentum
Optimise for the choice to return, not the choice to start.
From research
Learners who felt daily motion kept going; the rest quietly stopped.
02
Reduce Uncertainty
Always answer 'where am I, and what's next?' — in one glance.
From research
'I didn't know if I was behind or ahead. So I stopped opening it.'
03
Celebrate Small Wins
Progress must be felt after every meaningful action, not only at the end.
From research
Modules that hid progress until completion had the sharpest drop-off.
04
Create Visible Progress
Show learners a rhythm they can recognise as their own.
From research
Behaviour clusters showed 'momentum keepers' relied on visible cues.
05
Support Reflection
Give learners a way to see their week — not just their tasks.
From research
Reflection moments were absent in every silent drop-off story.
06
Keep Learners Moving Forward
Every surface should hand off the next low-effort step.
From research
Learners who lost the 'next step' lost the week soon after.
The behavioural backbone
Momentum Model — the strategic backbone
A loop, not a funnel
01 · Cue
A tiny prompt tied to something the learner already does.
02 · Small Win
One action that finishes cleanly in under two minutes.
03 · Signal
A visible marker that yesterday counted toward today.
04 · Next Step
The obvious, low-effort thing to do tomorrow.
How the redesigned journey behaves
Where am I?
Orientation replaces guesswork before daily actions begin.
What's next?
One low-effort next step is always visible — never a menu.
Did that count?
Reality Check moments surface progress the learner can feel.
05 — Features
What changed because of those insights?
Each intervention traces back to a specific behaviour we observed, and forward to an outcome we can measure. Interface concepts stay supporting; the recommendation is the hero.
01 · Intervention
Implementation in ProgressDaily Cue
A single opening cue that names one small action, under two minutes.
02 · Intervention
Implementation in ProgressMicro-Wins
A visible win after every meaningful action, not only at the end.
03 · Intervention
Quiet Peer Signals
Replace public posts with structured, low-stakes signals of shared progress.
04 · Intervention
Earned Nudges
Send only after a missed cue — one message, tied to what the learner already committed to.
06 — Experience
How would learners experience those changes?
No screens invented. Just the sequence of moments — cues, wins, signals — that a learner would move through if these recommendations went live.
Confusion → Confidence · emotion curve
Confusion
Week 1Feels like
Motivated but unsure where the daily rhythm lives.
Design move
A single opening cue names the daily action, not the weekly goal.
Commitment
Week 2Feels like
First real friction — life gets in the way of long sessions.
Design move
Micro-wins keep progress alive on the busy days.
Consistency
Weeks 3–4Feels like
The critical window where silent slippers used to disappear.
Design move
Earned nudges + peer signals catch drift before it becomes a gap.
Confidence
Weeks 5–6Feels like
The learner starts describing themselves as 'the kind of person who shows up'.
Design move
Momentum dashboard reflects identity back to them.
Mapped as a story before it became a screen — each frame anchors one behavioural moment, from Discovery through Long-term Impact.
07 — Validation
How will we know this worked?
We're not claiming outcomes we haven't earned. Instead, we've defined the framework by which success will be measured once the interventions are live.
Status
Proposal Accepted
The behavioural reframe and design principles were endorsed by cohort leads.
Status
Implementation in ProgressImplementation Underway
Daily Cue and Micro-Wins are being built into the next cohort cycle.
Status
Success Metrics Proposed
Five outcome measures, each linked to a specific intervention.
How success will be measured
01
Retention
Learners who remain active across the full cohort — not just week one.
Tied to
Daily Cue · Micro-Wins
02
Weekly Participation
The share of a cohort returning on at least three days each week.
Tied to
Daily Cue · Earned Nudges
03
Mentor Engagement
How often mentors are pulled into learning moments, not admin ones.
Tied to
Quiet Peer Signals
04
Activity Completion
Meaningful actions finished — measured continuously, not only at module end.
Tied to
Micro-Wins
05
Learner Confidence
Self-reported sense of 'I'm keeping up' across weeks two, four, and six.
Tied to
Momentum backbone (all four interventions)
These are proposed measures, not reported outcomes. They'll be baselined against the current cohort before the interventions go live.
08 — Reflection
How did this project change the way I think as a designer?
Decode DFC pushed me from 'what should this interface do' to 'what should this week feel like' — a shift in altitude I want to carry into every future project.
01
What I learned
Holding back on interface ideas long enough to see the real behavioural problem. The most valuable move was reframing, not drawing.
02
What I'd do differently
Interview more learners who had fully disengaged. Our inactive participants still replied to us, which means the quietest drop-offs are missing from the data.
03
What remains unresolved
Whether momentum interventions hold past week six, and whether mentors have the capacity the model assumes. Neither is answerable until the cohort runs.
04
What I'd measure next
Week-two restart rate against the current cohort baseline — the single number that would prove or disprove the reframe.
Collaborative process
A multidisciplinary team held the research together — my contribution led the behavioural framing, momentum model, and the reframe that shaped the final proposal.
A closing thought
The most impactful design decision wasn't creating a better interface.
It was discovering the right problem to solve.
Great learning experiences aren't built by adding more content — they're built by helping people keep going.
End of case study · Decode DFC · 2025
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— Contact
— Get in touch
Hi, I'm Nitya - a Product Designer / UX/UI Designer working across fintech, healthcare and learning. Currently focused on research-led, accessible product work. If you're hiring or want to talk about a project, the fastest way is email.