Lely Monalisa

Case Study — 2021

Reading every app-store review to rebuild a news app's navigation

Energy Shift is a renewable-energy news app by AfterFIT. With 4 months as a solo intern designer and no access to user interviews, I used app-store reviews, academic research, and competitive analysis to rebuild the app from its structure up.

Client

AfterFIT (Japan)

Role

Sole designer

Duration

4 months

Platform

iOS / Android

Energy Shift — the redesigned home and navigation.
Energy Shift — the redesigned home and navigation.

01  /  The Problem

App-store reviews pointed to structural issues, not visual ones.

The brief was broad — improve the app. Before opening Figma, I read every single app-store review to identify what was actually broken.

I read for patterns, not sentiment. Different users, different phrasing, same complaint underneath — that's signal, not noise.

01

What I observed

The brief was broad — "improve the app." No specific pain point was given. So I opened Google Play and read every review — not for sentiment, but for patterns. What exact words kept repeating?

02

What I found

The complaints weren't "ugly UI" or "bad colors." They were: "I can't find anything," "hard to navigate," "confusing layout." Different users, same structural complaint — that's a signal, not noise.

03

My hypothesis (before any design work)

This isn't a visual problem. It's a structural one. The navigation isn't helping users find what they want. Restyling the app would waste everyone's time — the foundation needed to be rebuilt.

Google Play reviews. The same complaint, rephrased by different users.
Google Play reviews. The same complaint, rephrased by different users.
The original home screen. Search and article detail sat at the same hierarchy.
The original home screen. Search and article detail sat at the same hierarchy.

02  /  Research

Before any design work, two research streams validated the diagnosis.

Hypothesis: navigation was the core issue. To test it, I ran two parallel streams — academic research on mobile news-app behavior, and a competitive analysis of five major Japanese news apps.

Academic research

SAGE / MIT — mobile news app behavior

  • Users browse by category, not by searching
  • If they can't find their topic on home, they leave fast
  • Trending/ranking feeds are a strong discovery driver

Competitive analysis

NHK · Yahoo! News · SmartNews · NewsPicks · Gunosy

  • All 5 used bottom nav + category tabs
  • Search was always in primary nav — never buried
  • Trending/ranking was a standard feature in every app
  • Home organized by clear content categories
The five Japanese news apps I benchmarked.
The five Japanese news apps I benchmarked.
Feature comparison table. Search placement and category hierarchy are identical across all five.
Feature comparison table. Search placement and category hierarchy are identical across all five.
Behavioral data from SAGE/MIT research on mobile news apps.
Behavioral data from SAGE/MIT research on mobile news apps.

03  /  Diagnosis

Mapping the existing IA surfaced three structural problems.

I mapped every screen and connection in the existing app. The exercise surfaced three distinct structural problems — each with a traceable cause and a corresponding design solution.

Problem 1 — Navigation

Search was buried at the same level as article pages

Users couldn't tell if they were in the main app or inside a sub-section. Search should always be reachable — it wasn't.

Fix → Moved search to permanent primary nav bar

Problem 2 — Content structure

Every article on one screen, no grouping

The home screen was a flat list of everything. Users interested in "solar" had to scroll past "EV policy" and "wind power" to find it.

Fix → Rebuilt home as category tabs with sub-category drill-down

Problem 3 — Icon language

Custom icons users had never seen before

The app used non-standard icons. Users had to learn a new icon vocabulary just to navigate.

Fix → Replaced with standard iOS/Android news-app icon patterns

The moment the IA was drawn, the vague navigation complaint in reviews became three clearly defined, traceable problems.

Reflection after the IA mapping

The original screens with the broken hierarchy.
The original screens with the broken hierarchy.
The rebuilt information architecture.
The rebuilt information architecture.

04  /  Design Decisions

Every design change traces back to a specific structural problem.

FeatureBeforeAfterEvidence
Bottom navigation3 items: Home · My Page · Settings4 items: Home · Search · Ranking · My Page5 competitor apps
SearchBuried in content flow, not always reachablePermanent primary nav slot, with category filterComp + reviews
Home screenSingle flat list of all articlesCategory tabs + sub-category drill-downSAGE/MIT
Ranking tabDid not existNew — surfaces trending articles users didn't know to search for5 competitor apps
IconsCustom set — required learningStandard iOS/Android news-app patternsUX convention

Before / After

Three nav items became four. Search and ranking came out of hiding.

Before — what users experienced

  • Open app → don't know where to start
  • Looking for solar news → scroll through everything
  • Search buried — hard to reach when needed
  • Icon meanings unclear — have to guess
  • No trending feed — discovery is hard

After — what users experience now

  • Open app → familiar layout, no learning needed
  • Tap "Solar" tab → only relevant articles
  • Search always visible in bottom nav
  • Standard icons — understood instantly
  • Ranking tab — discover trending without searching

Before — original screens

Home
Home
Login
Login
Article list
Article list
Article detail
Article detail
My Page
My Page
Settings
Settings

After — redesigned

Home (Latest)
Home (Latest)
Latest news
Latest news
Search
Search
Ranking
Ranking
My Page
My Page
Article detail
Article detail
The redesigned flows across home, latest, top, and ranking.
The redesigned flows across home, latest, top, and ranking.
Redesigned home — category tabs, search, and ranking all visible at first glance.
Redesigned home — category tabs, search, and ranking all visible at first glance.

05  /  Outcome

Approved at the final presentation and moved to implementation.

3.5★

Root cause identified — diagnosed from reviews and directly addressed.

5

Competitor apps analyzed; every major decision backed by pattern evidence.

3

Structural problems diagnosed, each with a clear cause-and-fix chain.

The final approved home screen.
The final approved home screen.

06  /  What I Learned

Four months without user interviews — what it taught me.

01

Reviews are a research dataset — if you read them structurally

I had no user interviews, so I used 1-star reviews as my primary source. The trick wasn't reading for sentiment. It was looking for phrases that repeated across different users. Repetition = signal worth investigating.

02

You can't fix what you can't see — draw the structure first

The navigation problems were invisible when I was just using the app casually. The moment I drew the IA diagram, the issues became concrete and explainable. Mapping always comes before designing.

03

Using familiar patterns is a design decision, not a shortcut

I chose standard news-app navigation because the research pointed to it. When five apps independently arrive at the same structure, that's strong evidence users already understand it. Convention can be your research.

04

A proposal that traces back to evidence wins every time

The PM approved it not because it looked great — but because every decision had a traceable reason. "I can explain why" is more persuasive than "trust me, it's better."

Reference: the Energy Shift web version, used as the content source for the mobile redesign.
Reference: the Energy Shift web version, used as the content source for the mobile redesign.