Screenshot of the Goal alignment and performance review portal interactive demo
Screenshot of the interactive demo, on sample data

Goal alignment and performance review portal

Reduce manual coordination while keeping goal and review decisions with named managers.

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For
Operations and people managers running goal and performance cycles across teams
Solves
Goals, check-ins, reviews and progress evidence live in separate tools, so alignment and fair review depend on manual chasing.
Delivers
Manager-approved goal and review records linked to evidence
Built in
about 5 weeks of creation time, MVP in 6 days
Investment
$12,500 for the MVP, $42,500 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce manual coordination while keeping goal and review decisions with named managers.

  1. Set and align objectives and key results.
  2. Track goal progress against evidence.
  3. Suggest priorities from goal and task data.
  4. Monitor performance indicators in one place.
  5. Flag review comments for bias and inconsistency.
  6. Run a dedicated tracking agent per goal.
  7. Send automated weekly check-ins.
  8. Provide contextual goal coaching.
  9. Consolidate progress from connected tools.
  10. Sync data with native integrations.
  11. Draft review and update text.
  12. Apply customizable templates.
  13. Suggest grammar and style fixes.
  14. Support multi-user editing.
  15. Publish approved updates to connected platforms.
  16. Compare the reviewed result with the recorded baseline and value assumptions.
  17. Capture corrections and named-owner approval before consequential use.
  18. Export a versioned manager-approved goal and review record with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Goal records
  • Check-in notes
  • Task data
  • Review inputs
  • Connected tool data

AI drafts, people review. Operational coordination portal.

What the customer gets
  • Manager-approved goal
  • Review records linked to evidence
02

How it works

The workflow

  1. In
    Start with

    Goal records, check-in notes, task data, review inputs and connected tool data

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect goal records

  4. 3

    Check-in notes

  5. 4

    Task data

  6. 5

    Review inputs and connected tool data

  7. 6

    Then follow this sequence: 1

  8. Out
    Finish with

    Manager-approved goal and review records linked to evidence

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed review cycle and approved template set; final ratings, promotions and employment decisions remain managerial. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Goal setup and alignment, Progress and check-in board, Review and approval. Use a list or board of goals with owners and status, a central detail view for each objective with key results and evidence, and a right-hand panel for comments, check-ins and review notes. Let users compare planned and actual progress side by side. Display draft, changes requested and approved states. Provide a shared team view with comments anchored to the relevant goal or review. Make the task-specific outcome manager-approved goal and review records linked to evidence visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, goal versions, team comments, approval states, usage allowances, revision limits, export history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Company-owned goal records, authorized check-in notes and permitted task data. Cloud storage, HR and project tool import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

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

    6 days

    One buyer segment, one recurring use case; first modules: set and align objectives and key results; track goal progress against evidence. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    7 days

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

  4. 4

    Full product

    2 weeks

    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 operations and people managers running goal and performance cycles across teams use it to solve "goals, check-ins, reviews and progress evidence live in separate tools, so alignment and fair review depend on manual chasing"?
  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. Agree quality and outcome thresholds before the pilot using this measure: Approved review records per manager hour and goal updates completed on schedule.
  4. Measure, then decide. Track approved review records per manager hour and goal updates completed on schedule; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One fixed review cycle and approved template set; final ratings, promotions and employment decisions remain managerial. Implement one approved input format, a bounded representative case set and the first two task modules: set and align objectives and key results; track goal progress against evidence. Support the third module with operator review: suggest priorities from goal and task data. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around manager-approved goal and review records linked to evidence. Retain the explicit scope boundary: One fixed review cycle and approved template set; final ratings, promotions and employment decisions remain managerial.

What the build depends on. Goal upload and preview, asynchronous processing jobs, editable version history, reviewer access and tested export formats. High-fidelity review requires specialist management QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed review cycle and approved template set; final ratings, promotions and employment decisions remain managerial.

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: set and align objectives and key results; track goal progress against evidence. Manual review in the loop.

    $12,500 · about 6 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.

    $12,500 · about 7 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $17,500 · about 2 weeks of creation time

Indicative total, MVP to full product$42,500about 5 weeks of creation time · start with the MVP from $12,500

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$40–$90$70–$150
Full productabout 50 customers$110–$210$280–$560$390–$770
05

Run it or resell it

Internally

For your own team

Operations and people managers running goal and performance cycles across teams run it inside the business: goal records, check-in notes, task data, review inputs and connected tool data in, manager-approved goal and review records linked to evidence 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#274591
  • accent#c98154
  • surface#e4e8f1
  • ink#22201e
Headings
Fraunces
Text
Inter
Voice
Practical, organised, candid
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined review cycle. Offer a monthly production allowance after repeat demand. Quote complex multi-team or specialist review work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded manager-approved goal and review record. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce manual coordination while keeping goal and review decisions with named managers. Demonstrate a concrete manager-approved goal and review record using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Operations and people managers running goal and performance cycles across teams professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample manager-approved goal and review record from a small authorized input set, with a transparent calculation of approved review records per manager hour and goal updates completed on schedule and no promised savings.

The first 30 days

  1. Week 1: interview five operations and people managers running goal and performance cycles across teams and inspect a recent example of goals, check-ins, reviews and progress evidence living in separate tools.
  2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure approved review records per manager hour and goal updates completed on schedule, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Approved review records per manager hour and goal updates completed on schedule. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Approved review records per manager hour and goal updates completed on schedule; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs manager-approved goal and review records linked to evidence. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved goal structures, review templates and correction examples, together with reliable delivery for a narrow management niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for operations and people managers running goal and performance cycles across teams. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Worxmate, Brev and The North, plus spreadsheets and manual review processes. Compare this product with the buyer's present method on approved review records per manager hour and goal updates completed on schedule. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, integration processing, storage, reviewer hours, client revision rounds and licensed source data. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of manager-approved goal and review records linked to evidence. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve employee voice, source attribution, review accuracy and usage permissions. Managers approve substantive ratings and employment decisions. One fixed review cycle and approved template set; final ratings, promotions and employment decisions remain managerial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 6 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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