Screenshot of the Cross-team shadowing coordinator interactive demo
Screenshot of the interactive demo, on sample data

Cross-team shadowing coordinator

Purposeful observation with clear permissions.

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For
Talent development teams
Solves
Shadowing visits lack concrete learning agreements.
Delivers
Participant-approved shadowing plan
Built in
about 4 weeks of creation time, MVP in 4 days
Investment
$13,000 for the MVP, $44,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For talent development teams, turn participant goals and host availability into participant-approved shadowing plan.

  1. Map learning objectives.
  2. Plan observation boundaries.
  3. Draft reflection prompts.
  4. Link proposed outputs to original source records.
  5. Capture reviewer corrections and approval.
  6. Export a versioned participant-approved shadowing plan.

What goes in, what comes out

What the customer puts in
  • Participant goals
  • Host availability

AI drafts, people review. Assumption-driven planning and decision workspace.

What the customer gets
  • Participant-approved shadowing plan
02

How it works

The workflow

  1. In
    Start with

    Participant goals and host availability

  2. 1

    The buyer creates a project

  3. 2

    Supplies participant goals and host availability

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Participant-approved shadowing plan

AI does the heavy lifting, people stay in charge

AI assists these bounded tasks: map learning objectives; plan observation boundaries; draft reflection prompts. Use only participant goals and host availability and preserve uncertainty in participant-approved shadowing plan. 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, Cross-team shadowing coordinator, Review and delivery. 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. Open with brief and sources; move into cross-team shadowing coordinator 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

Scenario versions, baseline reconciliation, constraint checks, assumption ownership, reviewer approvals, plan exports and actual-versus-plan tracking. 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. Read-only operational exports, calendars and finance or inventory records as relevant. Start with plan exports and retain human approval for execution. Begin with uploads and exports of participant goals and host availability. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

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

    4 days

    One buyer segment, one recurring use case; first modules: map learning objectives; plan observation boundaries. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    5 days

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

  4. 4

    Full product

    9 days

    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 development teams use it to solve "shadowing visits lack concrete learning agreements"?
  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 the acceptance criteria, input limits and reviewer responsibilities before starting.
  4. Measure, then decide. Track completed learning objectives; 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 participant goals and host availability. 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: map learning objectives; plan observation boundaries. Support the third task through an assisted review queue: draft reflection prompts. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of participant-approved shadowing plan. 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 participant-approved shadowing plan, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned participant-approved shadowing plan. 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 participant goals and host availability. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

What the build depends on. A defensible calculation model, explicit units, constraint validation and representative boundary tests. Advanced forecasting or optimization needs adequate historical data. 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 participant goals and host availability. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

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: map learning objectives; plan observation boundaries. Manual review in the loop.

    $13,000 · about 4 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.

    $13,000 · about 5 days of creation time

  3. Phase 3

    Full product

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

    $18,000 · about 9 days of creation time

Indicative total, MVP to full product$44,000about 4 weeks of creation time · start with the MVP from $13,000

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 development teams run it inside the business: participant goals and host availability in, participant-approved shadowing plan 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#27915c
  • accent#c954aa
  • surface#e4f1eb
  • ink#22201e
Headings
Manrope
Text
Manrope
Voice
Fair, human, straightforward
Selling it to your own clients: the go-to-market playbook

Pricing to test

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. For this buyer, package the first sale around prepare a sample participant-approved shadowing plan from a small authorized set of participant goals and host availability and the defined participant-approved shadowing plan. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Purposeful observation with clear permissions. Demonstrate the result with prepare a sample participant-approved shadowing plan from a small authorized set of participant goals and host availability for talent development teams. 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 participant-approved shadowing plan from a small authorized set of participant goals and host availability

The first 30 days

  1. Week 1: interview five prospective buyers from talent development teams and inspect how they handle shadowing visits lack concrete learning agreements.
  2. Week 2: prepare prepare a sample participant-approved shadowing plan from a small authorized set of participant goals and host availability using authorized or synthetic material.
  3. Week 3: share the demonstration through people operations communities and HR service consultants and seek one bounded paid pilot.
  4. Week 4: measure completed learning objectives; 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 participant-approved shadowing plan from a small authorized set of participant goals and host availability and deliver participant-approved shadowing plan. Compare completed learning objectives; 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

Completed learning objectives; reviewer correction minutes; buyer acceptance and repeat purchase

Retention and expansion

Build repeat use around participant-approved shadowing plan. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on completed learning objectives; 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

A validated domain model, customer-approved constraints and forecast or decision history that improves practical planning. For this concept, accumulate permissioned examples and reviewer corrections around purposeful observation with clear permissions. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Spreadsheets, planners, specialist forecasting tools and existing scheduling or configuration software. Position this concept around purposeful observation with clear permissions. 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

Data preparation, domain modeling, validation, scenario computation, reviewer support and ongoing assumption maintenance. Initial validation additionally budgets for representative sample preparation, interviews with talent development teams, and qualified domain review of participant-approved shadowing plan. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

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. One organization, one defined input format and one representative pilot batch using participant goals and host availability. 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.

Get this solution built

Built for you by our AI software factory, MVP in about 4 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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