End-to-end UX research for Jio's multilingual neural machine translation service — from beta usability testing through two live product releases, covering research, audits, and experience alignment across the full product lifecycle.
Text Translation
Translate typed or pasted text instantly
Voice Translation
Live voice-to-voice translation
Image Translation
OCR-based photo & camera capture
Call Translation
Live translation during calls
Chat Translation
Translate incoming & outgoing messages
Dubbing
Replace audio with translated voiceover
Phase 1
Beta Research
Heuristic eval, usability testing, user interviews
Phase 2
Wireframe & Design
Research-led screen design and prototyping
Phase 3
V1 Release
Dev handoff, brand & DS alignment
Phase 4
V1 Evaluative Research
Post-launch research, CX standards alignment
Phase 5
V2 Evaluative Research
Experience principles alignment
Phase 6
V2 Release
Live — iterative improvements applied
Research Approach
A multi-method approach spanning competitive benchmarking, heuristic evaluation, qualitative usability testing, and quantitative surveys — applied iteratively across beta and live product versions.
Secondary Research
Competitive analysis, global standards benchmarking, feature comparison
Heuristic Evaluation
Jakob Nielsen's 10 heuristics applied to beta flows
Usability Testing
Moderated sessions — travellers, business users, 18–40 age group
CX & XP Audits
Evaluated against Jio's 10 experience principles and CX standards
01 — Beta Version
Foundation & Heuristic Research
Conducted usability testing on the beta version with participants representing travellers, 18–40 age group, and business users. Used a combination of observation, video/audio recordings, and post-test questionnaires. Applied Nielsen's 10 usability heuristics to identify critical friction points across all translation flows.
02 — Competitive Analysis
Market & Competitor Benchmarking
Analysed 10+ competing translation apps including Google Translate (500M+ daily users, 100+ languages), Microsoft Translate (real-time conversation), iTranslate (Apple Best App), Papago, Yandex, Baidu, Reverso, Babbel, Duolingo, TripLingo, and SayHi — to position JioTranslate and identify feature gaps.
03 — V1 Evaluative Research
Post-Launch Evaluation & CX Alignment
After Version 1 release, conducted evaluative research to assess if beta-identified issues were resolved. Measured task completion rates, satisfaction scores, and validated CX standard alignment. Findings presented to leadership (Apex Presentation) to inform V2 roadmap decisions.
04 — V2 Research & XP Alignment
Experience Principles Verification
Evaluated V2 against Jio's 10 Experience Principles — We Care, We Connect, Always Smart, Always Simple, Always Secure, We Dream Big, It All Starts with Emotion, Actions Speak Louder, Consistency, and Celebrate We Are from India. Ensured product experience matched brand and design system standards.
User Persona
Research participants spanned travellers, professionals who had relocated cities, students, and business users. A primary persona was synthesised from the highest-frequency pain patterns.
Amit Paunikar
IT Engineer · 27 · Navi Mumbai → Bangalore
"I just want to communicate easily without feeling like an outsider."
Pain Points identified in research
Competitive Analysis
Benchmarked against 10+ global and regional competitors to understand feature parity, language coverage, and UX strengths — and to identify JioTranslate's differentiation opportunities.
Google Translate
500M+ daily users · 100+ languages
Microsoft Translate
Real-time conversation · Enterprise integration
iTranslate
Apple "Best App of the Year" multiple times
Key Research Insights
6 high-priority insights emerged from beta usability testing and were tracked across V1 and V2 to verify resolution. Each insight directly informed a product or design decision.
01
Language coverage too limited for Indian users
JioTranslate launched with only 3 global + 9 Indian languages. Users, especially those from North-East and South India, expected significantly broader regional coverage — particularly for dialects not covered by global competitors.
02
Real-time translation required — extra tap breaks flow
Users expected instant translation as they typed, similar to Google Translate. The current two-step flow (type → tap to translate) introduced unnecessary friction, especially in conversation scenarios.
03
Text cleared on language switch — major usability failure
When users switched between source and target languages, all entered text was erased — forcing re-entry. This was a critical usability failure that directly violated the heuristic of user control and freedom.
04
Regional dialect nuances frequently missed
Translations often overlooked nuanced differences across regional language variations — resulting in inaccuracies that felt culturally tone-deaf. Particularly problematic for Hindi-Hindustani, Tamil regional dialects, and Bengali.
05
Chat translation state invisible to users
Users couldn't tell whether chat messages were being translated — the app continued showing content in the original language without visible state changes. This created uncertainty and undermined trust in the feature.
06
Voice recognition degraded by background noise
Background noise and accents significantly compromised voice translation accuracy. Users in public spaces (metro, cafes, offices) could not rely on the voice feature. Noise cancellation was the top-requested improvement.
Heuristic Evaluation — Beta Version
Jakob Nielsen's 10 usability heuristics were applied to the JioTranslate beta — evaluating core translation flows for system status visibility, user control, error prevention, and consistency. Results directly informed the V1 design decisions.
Heuristic 01
Visibility of System Status
Needs WorkHeuristic 02
Match with the Real World
PartialHeuristic 03
User Control & Freedom
Needs WorkHeuristic 04
Consistency & Standards
PartialHeuristic 05
Error Prevention
Needs WorkHeuristic 06
Recognition over Recall
PassesHeuristic 07
Flexibility & Efficiency of Use
PartialHeuristic 08
Aesthetic & Minimalist Design
PassesHeuristic 09
Help Users Recognise & Recover from Errors
Needs WorkFull heuristic evaluation details withheld per confidentiality policy — connect to discuss specific findings.
Research Roadmap
Research findings from each phase fed directly into the next — creating a continuous feedback loop from discovery through design through launch through evaluation.
Beta → V1
User Testing Insights
V1 → V2
Evaluative Research
V2 → Ongoing
Continuous Improvement
Download the complete JioTranslate research document or get in touch to discuss specific findings in detail.