Team capacity planner

Buyer

Agency resource managers

Problem

Commitments exceed realistic team availability.

Format

Assumption-driven planning and decision workspace

Also fits

Operations; Human Resources; Finance

USP

Declared capacity and explicit estimates with uncertainty visible.

The product

Key screens: Capacity calendar, workload scenarios, assignment review. Place editable drivers and constraints beside a clearly labeled scenario output. Include a baseline view, comparison chart or schedule, and an assumptions history. Let users trace a proposed quantity or date back to its inputs. Keep forecasts distinct from actual results. In this product, the first view is capacity calendar, followed by workload scenarios and assignment review.

Core functionality

1. Normalize work estimates.
2. Account for leave.
3. Compare commitments.
4. Flag overload.
5. Model reassignment.
6. Capture manager decisions.

Customer workflow

Validate baseline inputs, confirm definitions and constraints, select editable assumptions, calculate feasible alternatives, inspect sensitivities, let the responsible person approve a plan, and compare later actuals with the recorded assumptions. Start with declared availability, estimates and current assignments and finish with capacity scenarios and assignment proposals.

AI and human review

Extract input context and explain scenario differences. Use deterministic calculations or explicit optimization for quantities, compatibility, dates and prices. Show uncertain assumptions. Never let generated prose silently change the calculation rules.

What the customer puts in

Declared availability, estimates and current assignments

What the customer gets

Capacity scenarios and assignment proposals

Accounts and administration

Scenario versions, baseline reconciliation, constraint checks, assumption ownership, reviewer approvals, plan exports and actual-versus-plan tracking.

MVP scope

Begin with agency resource managers and one recurring use case. Build the first two modules: normalize work estimates; account for leave. Provide operator assistance for the third module: compare commitments. Deliver capacity scenarios and assignment proposals 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 is validated

After paid pilots establish value, automate the remaining modules: flag overload; model reassignment; capture manager decisions. 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.

Build dependencies

A defensible calculation model, explicit units, constraint validation and representative boundary tests. Advanced forecasting or optimization needs adequate historical data.

Integrations and data access

Team updates, calendars, project records and agreed management routines. Read-only operational exports, calendars and finance or inventory records as relevant. Start with plan exports and retain human approval for execution. These are candidate integration categories, not verified supported connectors.

Defensibility

A validated domain model, customer-approved constraints and forecast or decision history that improves practical planning. For this idea, build around declared capacity and explicit estimates with uncertainty visible. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.

Alternatives and positioning

Spreadsheets, planners, specialist forecasting tools and existing scheduling or configuration software. Differentiate on this specific proposed advantage: declared capacity and explicit estimates with uncertainty visible. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.

Revenue model and test pricing

Test USD 750-3,000 for a scoped planning setup and review, then USD 200-900 monthly for refreshes within agreed complexity. Data integration and optimization are separately scoped. All ranges are hypotheses.

Main delivery costs

Data preparation, domain modeling, validation, scenario computation, reviewer support and ongoing assumption maintenance.

Marketing message to test

Team capacity planner for agency resource managers. Declared capacity and explicit estimates with uncertainty visible. Demonstrate the claim through a capacity review for an upcoming delivery period.

Acquisition channels

Agency operations advisers

Lead magnet

A capacity review for an upcoming delivery period

The first 30 days of marketing

1. Week 1: interview five prospective buyers in this segment: agency resource managers. 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 capacity review for an upcoming delivery period.
3. Week 3: present it through agency operations advisers and seek one narrowly scoped paid pilot.
4. Week 4: review overcommitment incidents, forecast error, total delivery effort and a concrete renewal decision before increasing scope.

Paid pilot and validation

Reproduce a known historical plan, test missing inputs and boundary constraints, then run a new scenario. Compare feasibility, reconciliation and observed error rather than judging the quality of the explanation alone. For this idea, use declared availability, estimates and current assignments and evaluate capacity scenarios and assignment proposals. Agree success thresholds with the buyer before starting; collect a baseline for overcommitment incidents, forecast error. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.

Success metrics

Overcommitment incidents, forecast error

Retention and expansion

Refresh inputs, compare recorded assumptions with actual outcomes and refine validated constraints. Expand scenario complexity only when the buyer uses it for a decision.

Operating controls and limitations

Confirm owners, decisions and commitments. Keep employee discussion notes access-controlled and avoid covert individual performance inference. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.

Investment indication

What it would take to build, from a first MVP to the full product. A planning range to start the conversation, not a quote. Running costs (model usage, hosting, reviewer hours) come on top.

Brand style (concept)