Case study
A 147,916-word Arabic sprint in 20 days.
A global ride-hailing platform needed almost 150,000 words of Arabic content translated in 20 days, delivered in batches so the work could start landing before the full set was done.
Arabic - 147,916 words - 20 days, batched
147,916 words
Volume
20 days, batched
Timeline
Measured outcomes
Arabic content sprint
Project overview
What landed, and what made it hard.
A global ride-hailing platform needed almost 150,000 words of Arabic content translated inside a 20-day window.
Delivery snapshot
Arabic content sprint
- Client
- confidential global ride-hailing platform
- Service
- Arabic translation, batched delivery
- Language
- Arabic
- Volume
- 147,916 words in 20 days
Why this mattered
Outcome before process.
A single-language sprint of this size lives or dies on throughput: the volume has to move fast without the quality sliding under deadline pressure.
The problem to solve
Why the work was difficult, and what MoniSa changed in-flight.
Pushing 147,916 words through in 20 days means sourcing enough Arabic linguists to hold pace without handing the same content to translators who work inconsistently.
The challenge
The problem to solve
Batched delivery raises the bar further, since each batch has to be release-ready on its own rather than waiting for a single final hand-off.
Operating response
What MoniSa changed
MoniSa ran the volume as a batched Arabic sprint, sourcing for throughput while keeping review on every batch before it shipped.
- Throughput sourcing Enough Arabic linguists were assigned to hold the daily pace the 20-day window required.
- Batched delivery Work shipped in batches so content started landing before the full set was complete.
- Review under pace Each batch was reviewed before delivery, so speed did not come at the cost of quality.
Results
Measured outcomes from this engagement.
147,916 words of Arabic content were delivered in batches across 20 days at project-scoped quality review, with content landing in stages rather than one final hand-off.
| Language | Arabic |
|---|---|
| Volume | 147,916 words |
| Timeline | 20 days, batched |
| Quality | project-scoped quality review |
Selection logic
What protected the result.
The selection came down to whether MoniSa could source and review the work at standard, and whether that would hold across the full run.
Why the fit was real
Why the fit was real
A single-language sprint at this volume needs bench depth to source for throughput without losing review discipline.
What decided the result
What decided the result
Batched delivery with per-batch review is what kept a fast sprint from trading quality for speed.
What buyers can reuse
What buyers can reuse
- A high-volume single-language sprint is a throughput problem solved by bench depth, not overtime.
- Batched delivery let content land in stages instead of waiting for one deadline.
- The evidence keeps the client details confidential and attributes the metrics only to this engagement.
Continue from this proof
Useful comparisons for the same problem.
Use these links to compare the case with the matching service, buyer guide, and language coverage.
Mapped context
Service and buyer context
Languages named
Examples referenced in the engagement.
- Arabic
- High-volume sprints
- Batched delivery
More proof
Related proof
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case evidence
Nearest proof pattern.
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Buyer questions
Ask the questions weak vendors avoid.
Short answers for buyers checking fit, coverage, quality method, and next-step readiness.
What was delivered on this engagement?
Language: Arabic. Volume: 147,916 words. Timeline: 20 days, batched
What control kept the work stable?
Batched delivery with per-batch review is what kept a fast sprint from trading quality for speed.
Where should similar work go next?
Use Translation services for the delivery model, Translation vendor buyer guide for buyer-side evaluation, and the contact page for a scoped brief.
Similar brief
Send the constraint behind the metric.
A useful follow-up to a case study names the language mix, review model, deadline, and what proof your buyer team needs before approval.
Production-ready brief
01Closest matching challenge from this case02Language pair, dialect, and script coverage03Volume, cadence, or hours to deliver04Reviewer model and acceptance criteria05Security or platform constraints06Proof needed for stakeholder approvalCapability at a glance
The answers most briefs open by asking for.
Buyers rarely start with who we are. They start with a list of fields to fill. Here are ours, so the first email can be about the work instead.
- Languages and locales
- 300+ languages and 4,500+ dialects, quoted per locale rather than per language — because the dialect decides whether a dataset is usable, whether a market accepts a release, and which specialist the work goes to.
- Specialist network
- 110,000+ verified language specialists — linguists, annotators, and reviewers — plus voice talent and subtitlers, matched to the language, domain and task before assignment.
- Capacity and mobilisation
- Named availability confirmed per pair before scoping. Coverage is reported as staffed today or needing a recruitment window, in writing, before a launch date or release window is agreed.
- Sourcing constraints
- Specialists can be sourced against geographic, residency, locale and demographic requirements — including native-only, in-country, and speaker-diversity quotas where a data programme demands them.
- Deliverables and specs
- Work is delivered to the receiving specification: structured formats and schemas for data and annotation work, and timed-text, audio and platform conformance for media — subtitle reading speed, line limits, cue timing, channel and sample-rate requirements included.
- Comparable work
- 62 documented case studies stating the scope, the constraint that made it difficult, and the measured result — across AI data programmes, partner overflow, and media releases. 2,000+ AI projects delivered and 1,000+ brands served since 2015.
- Certifications
- ISO 9001:2015 quality management, ISO 27001:2022 information security, and ISO 17100 translation services — scoped to translation specifically, and stated that way rather than implied across every line.
- Commercial basis
- Quoted in the unit the work is measured in — per word, per audio hour, per approved hour, per finished minute, per batch, per item — with what the unit includes stated alongside it, whether the quote is for you or for a client you quote onward.
Need this against your own template? Convert your scope between units and check the deadline, then send the brief with your language list, content type, volume and deadline, and the acceptance criteria you will judge the output against — those four decide feasibility, and the reply addresses them directly.