Software localization string context desk

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will product localization engineers use it to solve "translators receive strings without interface context"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
4. Measure, then decide. Track translator clarification requests; reviewer correction minutes; buyer acceptance and repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: One organization, one defined input format and one representative pilot batch using owned strings and screenshots. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: link strings to screens; explain placeholders. Support the third task through an assisted review queue: flag missing context. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of linguist-ready string context pack. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

After the MVP. After paying customers repeatedly accept linguist-ready string context pack, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned linguist-ready string context pack. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. One organization, one defined input format and one representative pilot batch using owned strings and screenshots. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

What the build depends on. Document parsing, a source-linked editor, tracked revisions, reviewer workflow and reliable document export. Rich presentation or print output needs format-specific QA. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: One organization, one defined input format and one representative pilot batch using owned strings and screenshots. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

Pricing to test

Test USD 400-1,500 for a tightly scoped initial content package. Convert repeated work to a monthly retainer with explicit deliverable and revision limits. Specialist review and substantial research are separately scoped. Prices are hypotheses. For this buyer, package the first sale around prepare a sample linguist-ready string context pack from a small authorized set of owned strings and screenshots and the defined linguist-ready string context pack. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Context before translation begins. Demonstrate the result with prepare a sample linguist-ready string context pack from a small authorized set of owned strings and screenshots for product localization engineers. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Developer communities and specialist engineering consultancies

Lead magnet

Prepare a sample linguist-ready string context pack from a small authorized set of owned strings and screenshots

The first 30 days

1. Week 1: interview five prospective buyers from product localization engineers and inspect how they handle translators receive strings without interface context.
2. Week 2: prepare prepare a sample linguist-ready string context pack from a small authorized set of owned strings and screenshots using authorized or synthetic material.
3. Week 3: share the demonstration through developer communities and specialist engineering consultancies and seek one bounded paid pilot.
4. Week 4: measure translator clarification requests; reviewer correction minutes; buyer acceptance and repeat purchase, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.

Paid pilot

Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run prepare a sample linguist-ready string context pack from a small authorized set of owned strings and screenshots and deliver linguist-ready string context pack. Compare translator clarification requests; reviewer correction minutes; buyer acceptance and repeat purchase with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.

Success metrics

Translator clarification requests; reviewer correction minutes; buyer acceptance and repeat purchase

Retention and expansion

Build repeat use around linguist-ready string context pack. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on translator clarification requests; reviewer correction minutes; buyer acceptance and repeat purchase. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.

Why clients would pick it

Customer-approved terminology, reusable structures, source libraries and editorial feedback tied to a specific audience and recurring publishing workflow. For this concept, accumulate permissioned examples and reviewer corrections around context before translation begins. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Writers, editors, agencies, internal document templates and general-purpose chat tools. Position this concept around context before translation begins. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.

Main delivery costs

Research and interview time, transcription, model usage, factual verification, subject-matter review, editing and revisions. Initial validation additionally budgets for representative sample preparation, interviews with product localization engineers, and buyer-side review of linguist-ready string context pack. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.