analytics

Fix Looker Translation Gaps

Idea Quality
100
Exceptional
Market Size
100
Mass Market
Revenue Potential
100
High

TL;DR

Browser extension for Looker admins that auto-fixes missing `dimension_group` and `yesno` translation rules in JSON files so they can eliminate manual dashboard localization fixes and reduce weekly translation errors by 90%

Target Audience

Looker admins and data teams in mid-sized to large companies (50+ employees) with multilingual users or international clients

The Problem

Problem Context

Teams using Looker for analytics need localized dashboards but hit translation failures for dimension_group and yesno dimensions. They rely on JSON files for automation, but Looker ignores these rules for specific cases, forcing manual fixes or English-only outputs.

Pain Points

The translation system breaks for dimension_group (no translations applied at all) and yesno dimensions (always shows 'yes'/'no' in English). Users waste hours debugging or accept broken dashboards, which hurts global teams and client reports.

Impact

Delayed reports, miscommunication with non-English stakeholders, and lost trust in data. Teams either hire consultants to patch the gaps or abandon localization, costing time and revenue.

Urgency

This is a blocking issue for teams with multilingual users. Every dashboard update risks breaking translations, and manual fixes aren’t scalable. The problem grows with team size and localization needs.

Target Audience

Looker admins, data analysts, and localization managers in mid-sized to large companies. Also affects agencies building dashboards for international clients.

Proposed AI Solution

Solution Approach

A lightweight tool that intercepts Looker’s translation requests, auto-fixes dimension_group and yesno dimension gaps, and returns properly localized outputs. Works as a browser extension or API layer, requiring no code changes to existing dashboards.

Key Features

  1. Real-time fixes: Runs in the background during dashboard renders, ensuring translations apply without manual intervention.
  2. Rule library: Pre-built fixes for common Looker translation quirks (e.g., yesno dimension edge cases).
  3. Audit logs: Tracks which translations were auto-fixed to maintain transparency.

User Experience

Users upload their JSON files once, then forget about it. The tool works silently in the background, ensuring all dashboards render in the correct language. Admins get alerts if new translation gaps appear, and analysts see consistent localized outputs without extra effort.

Differentiation

Unlike generic translation tools, this focuses only on Looker’s specific gaps (e.g., dimension_group). It’s lighter than Looker’s native (broken) solution and cheaper than hiring consultants. No IT approval needed—just install and go.

Scalability

Starts with a single team’s dashboards, then scales to enterprise setups with seat-based pricing. Adds support for custom dimension types and integrations with other BI tools over time.

Expected Impact

Teams save 5+ hours/week on manual fixes and avoid revenue losses from broken client reports. Dashboards stay localized automatically, improving global collaboration and data trust.