Value retail runs on one promise: you’ll save money here. This engagement evaluates whether that promise survives contact with the real customer experience — across the app, the website, and the store. It’s a live, ongoing project; what follows is the thinking and the frameworks, recreated at a safe altitude.
7
competitors benchmarked across 7 CX categories
616+
performance observations across 77 unique data points
3
lenses: heuristic evaluation, competitive analysis, in-store research
How I evaluated it
Three complementary methods, so findings are triangulated rather than anecdotal:
- Heuristic evaluation — a structured audit of the app and web against commerce UX principles, scored by severity across the full shopping journey
- Competitive analysis — manual digital audits plus four timed real-world shopping tasks across value and mass retailers, enriched with AI-assisted gap analysis over public reviews
- In-store research — mapping where the value promise is proven or broken once the shopper is actually in the aisle
The core finding: it’s a trust problem, not a feature problem
The strategy is right — the execution isn’t yet. Savings depth is genuinely strong; what breaks is trust. Coupons that don’t apply, prices that don’t match, and inventory that isn’t there turn a good promise into a repeated broken one.
What the shopper expects
What actually happens
"I'll save if I clip these deals"
Coupons are unclear, hard to manage, clipped items hard to find
"The item will be in my store"
Severe app-vs-shelf mismatch; "in stock" isn't
"My savings will apply automatically"
Coupons fail silently, with no override
"Someone will help if it goes wrong"
No safety net — the shopper absorbs the loss
The trust breakdown compounds across four stages of the journey — Plan → Shop → Check out → Recovery — so the experience isn’t failing in one place, it’s leaking across the whole trip.
The strategic gap: effort vs. outcome
Mapped against competitors, the retailer sits in the worst quadrant — high effort, uncertain outcome. Every other competitor either reduces effort or reduces uncertainty. The goal isn’t to strip out savings depth — it’s to make that depth feel effortless and trustworthy.
Value retailers win on simplicity; mass retailers win on trust. The opportunity is to own the middle — value-retail accessibility with mass-retail reliability.
Where it can win: four moves
Move
What it unlocks
Restore trust first
Fix coupon reliability, price consistency, inventory accuracy before any new feature
Reduce effort without reducing depth
Auto-apply savings; unify coupons, cart, and list into one system
Make the app work in-store
Real-time validation and better in-store support, so digital planning survives the aisle
Clarify fulfilment
Make delivery, shipping, and pickup legible before the shopper commits
Every friction point identified also maps cleanly to an AI-assisted solution — real-time coupon validation, live savings totals, contextual “why didn’t my coupon apply?” help — so AI removes complexity from the experience rather than adding it.
Status
This is an active, ongoing engagement. The public case study stays at the level of method, framing, and strategic direction; specific findings, scores, and client deliverables remain under NDA. The frameworks shown here are recreated in my own visual language to preserve the thinking without exposing confidential material.
