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L
Lucas P.
São Paulo, BR · 🇯🇵 Japanese
Relocation

Zero to A2 Japanese in 9 months — from São Paulo

V9 Program · 9 months · A0A2

GOAL
Move to Tokyo — zero prior Japanese
"Starting from zero in Japanese felt impossible. The multiplier in my V-program was honest — HEXI told me it would be hard and why. Nine months in, I can hold real conversations."
180
Sessions
108h
Voicely Hours
216h equiv
Classroom equiv
1,100
Words protected

VOICECAST™ Snapshot

Day 0A0
0%PRON
0%COMP
0%PROD
0%RET
+60pts avg
Day 270A2
62%PRON
58%COMP
55%PROD
64%RET

4-Ring Progress

Pronunciation0% → 62%+62pts
Comprehension0% → 58%+58pts
Production0% → 55%+55pts
Retention0% → 64%+64pts
Overall CEFRA0A2

The Full Story

Lucas had accepted a job offer in Tokyo with nine months lead time. His Japanese: zero. Every app he tried promised too much and delivered too little. He needed something honest.

VOICECAST told him what he already feared: A0 on all four rings, as expected. But HEXI's V9 program came with a specific reason: Japanese is FSI Category IV — the hardest language category for Portuguese-English speakers. 2.5× the standard multiplier. V7 would have been unrealistic.

The program front-loaded Imprint and Island — characters before anything else. No romanization. Painful for the first three weeks, then suddenly natural. By month four he could read hiragana and katakana fluently without thinking.

Month nine: A2 overall. Not B1. He knew it going in. The program wasn't a promise — it was HEXI's honest calibration of what was achievable in nine months from zero. That honesty is what kept him going.

VOICECAST™ History

DayCEFRPRONUCOMPRPRODURETEN
Day 0A00%0%0%0%
Day 60A124%18%15%22%
Day 120A141%35%29%40%
Day 180A253%47%42%53%
Day 270A262%58%55%64%

Phoneme Accuracy Arc

Day 0 — Weak Phonemes
/ts//tɕ//ɯ//ɴ//ʑ/
Day 270 — Remaining
/ɯ/
RESEARCH ANCHOR

FSI Research Report No. 70: Japanese requires ~2,200 hours for English speakers vs ~600 for French. The V9 program applies the FSI Cat IV multiplier explicitly — no false promises.

These profiles are representative composites grounded in real CEFR research trajectories and Voicely's 2× efficiency model. Scores are generated using Voicely's actual 4-ring assessment algorithm. Individual results vary based on study consistency, native language, and prior exposure.

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