
Employee recognition nomination coach
Evidence-rich nominations without popularity scoring.
- For
- People experience coordinators
- Solves
- Nominations contain praise without supporting examples.
- Delivers
- Reviewer-ready nomination brief
- Built in
- about 4 weeks of creation time, MVP in 4 days
- Investment
- $11,500 for the MVP, $39,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For people experience coordinators, turn voluntary nominations and approved criteria into reviewer-ready nomination brief.
- Extract stated contributions.
- Flag missing examples.
- Draft clarification prompts.
- Link proposed outputs to original source records.
- Capture reviewer corrections and approval.
- Export a versioned reviewer-ready nomination brief.
What goes in, what comes out
- Voluntary nominations
- Approved criteria
AI drafts, people review. Client intake portal and staff exception queue.
- Reviewer-ready nomination brief
How it works
The workflow
- InStart with
Voluntary nominations and approved criteria
- 1
The buyer creates a project
- 2
Supplies voluntary nominations and approved criteria
- 3
Confirms scope and access
- OutFinish with
Reviewer-ready nomination brief
AI does the heavy lifting, people stay in charge
AI assists these bounded tasks: extract stated contributions; flag missing examples; draft clarification prompts. Use only voluntary nominations and approved criteria and preserve uncertainty in reviewer-ready nomination brief. 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: Brief and sources, Employee recognition nomination coach, Review and delivery. 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 brief and sources; move into employee recognition nomination coach for the detailed task; finish in review and delivery 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
Approved HR documents, employee directories and learning records. 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 voluntary nominations and approved criteria. 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
4 daysOne buyer segment, one recurring use case; first modules: extract stated contributions; flag missing examples. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
5 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
10 daysSelf-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 people experience coordinators use it to solve "nominations contain praise without supporting examples"?
- 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 nominations with concrete examples; 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 voluntary nominations and approved criteria. 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: extract stated contributions; flag missing examples. Support the third task through an assisted review queue: draft clarification prompts. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of reviewer-ready nomination brief. 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 reviewer-ready nomination brief, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned reviewer-ready nomination brief. 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 voluntary nominations and approved criteria. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.
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: One organization, one defined input format and one representative pilot batch using voluntary nominations and approved criteria. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.
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: extract stated contributions; flag missing examples. 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$39,000about 4 weeks of creation time · start with the MVP from $11,500
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
People experience coordinators run it inside the business: voluntary nominations and approved criteria in, reviewer-ready nomination brief 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
#279158 - accent
#c954ae - surface
#e4f1ea - ink
#22201e
- Headings
- Archivo
- Text
- Lora
- Voice
- Fair, human, straightforward
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 prepare a sample reviewer-ready nomination brief from a small authorized set of voluntary nominations and approved criteria and the defined reviewer-ready nomination brief. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Evidence-rich nominations without popularity scoring. Demonstrate the result with prepare a sample reviewer-ready nomination brief from a small authorized set of voluntary nominations and approved criteria for people experience coordinators. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
People operations communities and HR service consultants
Lead magnet
Prepare a sample reviewer-ready nomination brief from a small authorized set of voluntary nominations and approved criteria
The first 30 days
- Week 1: interview five prospective buyers from people experience coordinators and inspect how they handle nominations contain praise without supporting examples.
- Week 2: prepare prepare a sample reviewer-ready nomination brief from a small authorized set of voluntary nominations and approved criteria using authorized or synthetic material.
- Week 3: share the demonstration through people operations communities and HR service consultants and seek one bounded paid pilot.
- Week 4: measure nominations with concrete examples; 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 reviewer-ready nomination brief from a small authorized set of voluntary nominations and approved criteria and deliver reviewer-ready nomination brief. Compare nominations with concrete examples; 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
Nominations with concrete examples; reviewer correction minutes; buyer acceptance and repeat purchase
Retention and expansion
Build repeat use around reviewer-ready nomination brief. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on nominations with concrete examples; 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
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 evidence-rich nominations without popularity scoring. 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 evidence-rich nominations without popularity scoring. 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 representative sample preparation, interviews with people experience coordinators, and qualified domain review of reviewer-ready nomination brief. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
Safeguards
Keep employee data access explicit and confidential. Use human judgment for personnel decisions and do not infer protected traits or hidden personal characteristics. One organization, one defined input format and one representative pilot batch using voluntary nominations and approved criteria. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.