Usability interviews transcribed by Otter.
Localized UX findings for every regional design team.

Design teams at global companies run usability research in local languages. Those findings need to reach a centralized or cross-regional design team without losing the specificity of what participants said. Otter transcribes the interview. Claude structures the UX synthesis. Lara Translate localizes it for every team that needs it.

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Claude
Otter.ai
Otter.ai
Lara Translate
Claude
200+
Localized UX findings

From Otter.ai usability interview transcript to localized UX findings for every regional design team.

Claude reads the Otter.ai usability interview transcript via MCP and extracts every usability issue, participant quote, design implication, and recurring pattern. The structured UX synthesis is localized by Lara Translate for each regional or central design team in the same session.

1

Ask Claude to read the usability interview transcript from Otter.ai

Claude connects to Otter.ai via MCP and reads the full usability session transcript, recorded in any of the six languages Otter supports, returning the complete session with speaker identification and task-level timestamps.

Prompt used:"Read the Otter.ai transcript of the usability interview session with [participant code]. Extract: all usability issues observed with severity, exact participant quotes with context, recurring interaction patterns across participants, and design implications by component. Structure a UX research synthesis and translate into English and Portuguese using Lara Translate with Faithful style and the UX research glossary."
2

Otter.ai returns the full usability interview transcript

Otter.ai returns the complete usability session transcript with speaker identification, capturing every usability issue raised, task completion pattern observed, and participant quote. Claude structures the UX synthesis with issues by severity, participant quotes by component, and design implications with supporting evidence.

3

Lara Translate localizes the UX synthesis into English and Portuguese

Lara Translate localizes the UX research synthesis from the source interview language into English and Portuguese using Faithful style, precise language that preserves every participant quote and usability issue exactly as observed. The UX research glossary enforces approved equivalents for interaction design terminology so design teams read findings using the vocabulary consistent with their design system.

4

Regional design teams receive complete localized UX research syntheses

The central product design team receives an English synthesis: usability issues by severity with participant evidence, exact quotes with interaction context, recurring patterns across sessions, and design implications by component. The São Paulo design team receives the equivalent in Portuguese. Both teams work from the same research.

Why Otter.ai's 6-language limit makes localization the missing layer in global UX research

Otter.ai transcribes usability interviews in English, Spanish, French, German, Japanese, and Chinese (Simplified) — the six languages where most global research teams can run sessions directly. But those findings need to reach design teams in Portuguese, Korean, Italian, Arabic, and dozens of other languages where Otter stops. Lara Translate applied via Claude MCP localizes the structured UX synthesis into any of 200+ languages, so research conducted in Tokyo or Berlin reaches every design team that needs it.

What makes localized UX findings usable for a regional design team.

UX findings that lose participant quote specificity or usability severity in translation cannot drive design decisions. These four properties prevent that.

UX and interaction terminology consistent with your design system

Interaction patterns, component names, and design system terminology stay consistent across every localized UX synthesis. Translation memory reuses approved UX vocabulary across research cycles.

Faithful for participant quotes. Fluid for design implications.

Faithful for participant quotes and usability issues where the exact observation determines what gets redesigned. Fluid for design implications and research narrative where natural language helps the team understand the finding.

Participant quotes and usability severity preserved without softening

A specific usability observation carries precise design meaning. You pass the research context and audience, and Lara Translate localizes every participant quote without losing specificity or severity.

Localized UX findings for every regional design team in one session

In any of 203 languages. Research conducted in Japanese, Spanish, or French reaches every design team that needs it, in their language.

Claude + Otter vs.
Claude + Otter + Lara Translate

What you needClaude + OtterClaude + Otter.ai + Lara Translate
UX terminology consistent with the existing design systemNo glossary. UX terms may vary across language versions of the synthesis.UX glossary enforces consistent terminology matching the design system
Participant quotes preserved with exact wordingNo style mode. Participant observations and design implications get the same generic translation.Faithful treatment of all participant quotes and usability observations
Research structured as a design instrument before localizationEach Otter transcript requires manual extraction and separate translation per language.Claude structures the UX synthesis before Lara Translate localizes it
Findings accessible to teams who don't speak the research languageLocal research conducted in Japanese stays inaccessible to teams in other languages.UX research in any Otter language reaches every design team in 200+ languages
All design teams briefed from the same research sessionNo translation memory. UX terminology is not aligned across research cycles.200+ languages, same session, same UX glossary applied

Ready to share UX research findings with every regional design team in their language?

One Otter.ai usability interview transcript. Structured, localized UX findings for every design team in under 4 minutes.

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