
Repair video submission coach
Improve diagnostic evidence before a technician opens the case.
- For
- Consumer electronics service desks
- Solves
- Unusable customer videos force repeated diagnostic requests.
- Delivers
- Technician-ready repair evidence pack
- Built in
- about 5 weeks of creation time, MVP in 5 days
- Investment
- $15,500 for the MVP, $50,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For consumer electronics service desks, turn approved troubleshooting steps and customer uploads into technician-ready repair evidence pack.
- Select recording checklist.
- Check clip completeness.
- Request missing angles.
- Extract device identifiers.
- Summarize observed symptoms.
- Package technician handoff.
What goes in, what comes out
- Approved troubleshooting steps
- Customer uploads
AI drafts, people review. Client intake portal and staff exception queue.
- Technician-ready repair evidence pack
How it works
The workflow
- InStart with
Approved troubleshooting steps and customer uploads
- 1
The buyer creates a project
- 2
Supplies approved troubleshooting steps and customer uploads
- 3
Confirms scope and access
- OutFinish with
Technician-ready repair evidence pack
AI does the heavy lifting, people stay in charge
Describe visible symptoms and defer diagnosis to technicians. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.
What your team sees
Key screens: Recording guide, Upload review, Technician queue. Give submitters a mobile-friendly step-by-step form with document uploads and a visible completeness checklist. Staff see a queue with missing items and extracted fields. Place the original document beside each uncertain value. Show submitted, clarification required and ready-for-review states. Open with recording guide; move into upload review for the detailed task; finish in technician queue for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.
Accounts and administration
Secure uploads, configurable checklists, progress saving, duplicate handling, reviewer assignments, clarification threads, deadlines and submission history. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.
Integrations and data access
Support inboxes, help centers, order records and customer feedback systems. Case management, customer records, document storage and notification systems. Begin with an exportable review pack before automating destination writes. Begin with uploads and exports of approved troubleshooting steps and customer uploads. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
5 daysOne buyer segment, one recurring use case; first modules: select recording checklist; check clip completeness. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
6 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
2 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
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.
- Pick the riskiest assumption. Here: will consumer electronics service desks use it to solve "unusable customer videos force repeated diagnostic requests"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
- Measure, then decide. Track repeat uploads and technician triage time. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Costed pilot: Upload guidance only; no hazardous repair instructions. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: select recording checklist; check clip completeness. Support the third task through an assisted review queue: request missing angles. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of technician-ready repair evidence 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 technician-ready repair evidence pack, automate extract device identifiers; summarize observed symptoms; package technician handoff. 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. Upload guidance only; no hazardous repair instructions.
What the build depends on. Secure upload handling, reliable extraction, versioned completeness rules, submitter identity and staff routing. Third-party checklist changes require maintenance. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Upload guidance only; no hazardous repair instructions.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: select recording checklist; check clip completeness. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$50,000about 5 weeks of creation time · start with the MVP from $15,500
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $40–$90 | $70–$150 |
| Full productabout 50 customers | $110–$210 | $280–$560 | $390–$770 |
Run it or resell it
For your own team
Consumer electronics service desks run it inside the business: approved troubleshooting steps and customer uploads in, technician-ready repair evidence pack out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#917a27 - accent
#5454c9 - surface
#f1eee4 - ink
#22201e
- Headings
- Archivo
- Text
- Lora
- Voice
- Warm, clear, calm under pressure
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 500-2,000 setup plus USD 150-750 monthly for one form family and a capped submission volume. Quote specialist review and unusual document formats separately. Prices are experimental. For this buyer, package the first sale around improve ten rejected submissions and the defined technician-ready repair evidence pack. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Improve diagnostic evidence before a technician opens the case. Demonstrate the result with improve ten rejected submissions for consumer electronics service desks. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
Repair networks and electronics retailers
Lead magnet
Improve ten rejected submissions
The first 30 days
- Week 1: interview five prospective buyers from consumer electronics service desks and inspect how they handle unusable customer videos force repeated diagnostic requests.
- Week 2: prepare improve ten rejected submissions using authorized or synthetic material.
- Week 3: share the demonstration through repair networks and electronics retailers and seek one bounded paid pilot.
- Week 4: measure repeat uploads and technician triage time, 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 improve ten rejected submissions and deliver technician-ready repair evidence pack. Compare repeat uploads and technician triage time 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
Repeat uploads and technician triage time
Retention and expansion
Build repeat use around technician-ready repair evidence pack. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on repeat uploads and technician triage time. 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
Document-type expertise, tested completeness rules and a low-friction client experience embedded in a repeat administrative process. For this concept, accumulate permissioned examples and reviewer corrections around improve diagnostic evidence before a technician opens the case. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Email collection, generic web forms, spreadsheets and existing case management systems. Position this concept around improve diagnostic evidence before a technician opens the case. 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
Document processing, storage, exception review, support, checklist maintenance and customer-specific integration work. Initial validation additionally budgets for test recordings and technician review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
Safeguards
Keep customer account access scoped. Escalate missing evidence and consequential exceptions to staff. Review quality alongside any speed measure. Upload guidance only; no hazardous repair instructions. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.