Internal skills directory cover

Internal skills directory

Employee-controlled profiles with evidence context and no hidden ratings.

See the demo site Get this built for you

For
Talent leads at project-based organizations
Solves
Useful internal experience is invisible across teams.
Delivers
Searchable employee skills directory
Built in
about 2 weeks of creation time, MVP in 2 days
Investment
$5,500 for the MVP, $18,500 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For talent leads at project-based organizations, turn employee-declared skills, projects and consent preferences into searchable employee skills directory.

  1. Collect self-declared skills.
  2. Attach project evidence.
  3. Support employee corrections.
  4. Search capabilities.
  5. Show availability declarations.
  6. Request profile refreshes.

What goes in, what comes out

What the customer puts in
  • Employee-declared skills
  • Projects
  • Consent preferences

AI drafts, people review. Searchable structured library and data stewardship console.

What the customer gets
  • Searchable employee skills directory
02

How it works

The workflow

  1. In
    Start with

    Employee-declared skills, projects and consent preferences

  2. 1

    Import a limited collection

  3. 2

    Define canonical fields

  4. 3

    Suggest tags or mappings

  5. 4

    Review uncertain records

  6. 5

    Publish approved items

  7. 6

    Search and reuse them

  8. 7

    Request periodic owner updates

  9. Out
    Finish with

    Searchable employee skills directory

AI does the heavy lifting, people stay in charge

Suggest classifications, semantic tags, duplicate candidates and field mappings. Preserve original values. Use explicit validation for identifiers and units. Human stewards approve ambiguous merges and factual changes.

What your team sees

Key screens: Skill search, employee profile, update requests. Use a searchable table or visual gallery with filters for the domain’s important attributes. Open each item into a detail drawer containing source records, ownership and history. Put proposed merges and field changes in a separate review queue. Provide a preview before any bulk export. In this product, the first view is skill search, followed by employee profile and update requests.

Accounts and administration

Record ownership, access permissions, change proposals, original-value retention, version history, review dates, bulk import/export and duplicate resolution.

Integrations and data access

Approved HR documents, employee directories and learning records. Source systems, catalog exports and cloud file storage. Start with reversible CSV or file imports and validate identifiers before any direct writes. These are candidate integration categories, not verified supported connectors.

03

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. 1

    Scoping call

    Day 1

    Thirty 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. 2

    MVP

    2 days

    One buyer segment, one recurring use case; first modules: collect self-declared skills; attach project evidence. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    3 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    6 days

    Remaining modules: search capabilities; show availability declarations; request profile refreshes. Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We 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.

  1. Pick the riskiest assumption. Here: will talent leads at project-based organizations use it to solve "useful internal experience is invisible across teams"?
  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. Clean and organize one representative collection.
  4. Measure, then decide. Track profile accuracy and successful internal introductions. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Begin with talent leads at project-based organizations and one recurring use case. Build the first two modules: collect self-declared skills; attach project evidence. Provide operator assistance for the third module: support employee corrections. Deliver searchable employee skills directory through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.

After the MVP. After paid pilots establish value, automate the remaining modules: search capabilities; show availability declarations; request profile refreshes. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.

What the build depends on. Stable identifiers, an agreed data schema, reversible imports, mapping review and source ownership. Data quality work can exceed model development effort.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: collect self-declared skills; attach project evidence. Manual review in the loop.

    $5,500 · about 2 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $5,500 · about 3 days of creation time

  3. Phase 3

    Full product

    Remaining modules: search capabilities; show availability declarations; request profile refreshes. Self-serve onboarding, billing, monitoring and the wider integration set.

    $7,500 · about 6 days of creation time

Indicative total, MVP to full product$18,500about 2 weeks of creation time · start with the MVP from $5,500

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.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$50–$100$80–$160
Full productabout 50 customers$110–$210$350–$700$460–$910
05

Run it or resell it

Internally

For your own team

Talent leads at project-based organizations run it inside the business: employee-declared skills, projects and consent preferences in, searchable employee skills directory out, reviewed by your people.

For your clients

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#279151
  • accent#c954b4
  • surface#e4f1e9
  • 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 500-2,500 for one collection cleanup and launch, followed by USD 100-500 monthly for maintenance within agreed record limits. Larger migrations and complex rights management are separately scoped. Prices are hypotheses.

Message to test

Internal skills directory for talent leads at project-based organizations. Employee-controlled profiles with evidence context and no hidden ratings. Demonstrate the claim through a voluntary team skill-mapping workshop.

Where to find buyers

Talent development communities

Lead magnet

A voluntary team skill-mapping workshop

The first 30 days

  1. Week 1: interview five prospective buyers in this segment: talent leads at project-based organizations. Ask to see a recent example of the problem and their current process.
  2. Week 2: prepare this demonstration using authorized or synthetic material: a voluntary team skill-mapping workshop.
  3. Week 3: present it through talent development communities and seek one narrowly scoped paid pilot.
  4. Week 4: review profile accuracy, successful internal introductions, total delivery effort and a concrete renewal decision before increasing scope.

Paid pilot

Clean and organize one representative collection. Have users perform real search or mapping tasks. Check every proposed merge in the sample and compare search success with the existing system. For this solution, use employee-declared skills, projects and consent preferences and evaluate searchable employee skills directory. Agree success thresholds with the buyer before starting; collect a baseline for profile accuracy, successful internal introductions. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.

Success metrics

Profile accuracy, successful internal introductions

Retention and expansion

Provide owner reminders and periodic cleanup. Add another collection only after record quality and retrieval are stable in the initial one.

Why clients would pick it

A useful niche taxonomy, customer-approved mappings and accumulated correction history that improve retrieval and reduce repeated cleanup. For this solution, build around employee-controlled profiles with evidence context and no hidden ratings. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.

Alternatives and positioning

Spreadsheets, shared folders, existing asset or information management systems and manual data cleanup. Differentiate on this specific proposed advantage: employee-controlled profiles with evidence context and no hidden ratings. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.

Main delivery costs

Import cleanup, extraction, storage, indexing, steward review, duplicate investigation and recurring source updates.

06

Safeguards

Keep employee data access explicit and confidential. Use human judgment for personnel decisions and do not infer protected traits or hidden personal characteristics. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.

Get this solution built

Built for you by our AI software factory, MVP in about 2 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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