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Solution Database / Human Resources

Internal skills directory

Useful internal experience is invisible across teams. Employee-controlled profiles with evidence context and no hidden ratings.

Human ResourcesEducationOperationsIT and DevelopmentSearchable structured library and data stewardship console

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Demo screen of Internal skills directory
Opportunity8Very strong
Problem6Real pain
Feasibility9Very manageable
Why now8Strong timing
💰 Investment$6,000 MVP$20,000 for the full product
🛠️ Build effort2/1013 days of creation time, MVP in 3 days
⚙️ Running costs$460–$910/moat about 50 customers
🧠 Right for you?Check your fitTen questions, instant answer

01The offer

For talent leads at project-based organizations, turn employee-declared skills, projects and consent preferences into searchable employee skills directory. Address the recurring problem: useful internal experience is invisible across teams. The value hypothesis is a more complete, reviewable deliverable with less repeated preparation; the pilot must establish whether that benefit is real.

For
Talent leads at project-based organizations
Takes in
Employee-declared skills, projects and consent preferences
Delivers
Searchable employee skills directory
Message
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.
Lead magnet
A voluntary team skill-mapping workshop

02How it works

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

Workflow

Import a limited collection, define canonical fields, suggest tags or mappings, review uncertain records, publish approved items, search and reuse them, and request periodic owner updates. Start with employee-declared skills, projects and consent preferences and finish with searchable employee skills directory.

AI and people

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.

Screens

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.

Admin

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

03Market gap

Alternatives buyers use today

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.

Where this wins

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.

04Why now

Human Resources teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: useful internal experience is invisible across teams.

05Proof & signals

Channels where buyers gather: Talent development communities. Metrics that prove it works: Profile accuracy, successful internal introductions.

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.

06Execution plan

MVP

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.

First 30 days

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. Week 2: prepare this demonstration using authorized or synthetic material: a voluntary team skill-mapping workshop. Week 3: present it through talent development communities and seek one narrowly scoped paid pilot. Week 4: review profile accuracy, successful internal introductions, total delivery effort and a concrete renewal decision before increasing scope.

After the pilot

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.

Retention

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

Integrations

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.

07Investment and running costs

PhaseScopeTimeBudget
MVPOne buyer segment, one recurring use case; first modules: collect self-declared skills; attach project evidence. Manual review in the loop.3 days$6,000
Paid pilotAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.4 days$6,000
Full productRemaining modules: search capabilities; show availability declarations; request profile refreshes. Self-serve onboarding, billing, monitoring and the wider integration set.6 days$8,000
Total$20,000
RunningHostingAI usageTotal a month
MVP and paid pilot (about 3 customers)$30–$60$50–$100$80–$160
Full product (about 50 customers)$110–$210$350–$700$460–$910

Revenue model 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.

Cost drivers

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

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.

Take it further

Concept proposal expanded from the 315-solution conversation. Demand, pricing, differentiation, build scope and integration feasibility are hypotheses, not verified market findings. Category link is inspiration rather than evidence of business viability.