Screenshot of the Team interruption cost diary interactive demo
Screenshot of the interactive demo, on sample data

Team interruption cost diary

Team-controlled evidence of interruption sources.

Try the interactive demo Get this built for you

For
Professional services team managers
Solves
Unplanned requests consume capacity without a visible record.
Delivers
Aggregate interruption review
Built in
about 3 weeks of creation time, MVP in 4 days
Investment
$10,000 for the MVP, $34,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For professional services team managers, turn voluntary team diaries and task categories into aggregate interruption review.

  1. Capture self-reported requests.
  2. Group interruption types.
  3. Compare planned work.
  4. Identify repeated dependencies.
  5. Draft team experiments.
  6. Export aggregate patterns.

What goes in, what comes out

What the customer puts in
  • Voluntary team diaries
  • Task categories

AI drafts, people review. Evidence-backed analysis and reporting workspace.

What the customer gets
  • Aggregate interruption review
02

How it works

The workflow

  1. In
    Start with

    Voluntary team diaries and task categories

  2. 1

    The buyer creates a project

  3. 2

    Supplies voluntary team diaries and task categories

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Aggregate interruption review

AI does the heavy lifting, people stay in charge

Cluster voluntary entries and report only agreed aggregates. 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: Request diary, Interruption patterns, Team review. Open with a compact overview and filters for the relevant period or segment. Let users drill from each theme or metric into underlying records. Keep source definitions and missing-data notes near the result. Use an action panel to assign investigations and record what was learned. Open with request diary; move into interruption patterns for the detailed task; finish in team review for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.

Accounts and administration

Dataset permissions, field mappings, metric definitions, source drill-down, saved filters, reviewer annotations, recurring reports and action ownership. 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

Team updates, calendars, project records and agreed management routines. Read-only business data exports, reporting databases and task trackers. Reconcile source totals before scheduling recurring data refreshes. Begin with uploads and exports of voluntary team diaries and task categories. 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: capture self-reported requests; group interruption types. 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

    8 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 professional services team managers use it to solve "unplanned requests consume capacity without a visible record"?
  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 self-reported disruption and experiment adoption. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: No passive employee monitoring or individual ranking. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: capture self-reported requests; group interruption types. Support the third task through an assisted review queue: compare planned work. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of aggregate interruption review. 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 aggregate interruption review, automate identify repeated dependencies; draft team experiments; export aggregate patterns. 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. No passive employee monitoring or individual ranking.

What the build depends on. Stable identifiers, consistent metric definitions, deterministic calculations, source lineage and representative review samples. Poor coverage must remain visible. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: No passive employee monitoring or individual ranking.

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: capture self-reported requests; group interruption types. Manual review in the loop.

    $10,000 · 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.

    $10,000 · about 5 days of creation time

  3. Phase 3

    Full product

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

    $14,000 · about 8 days of creation time

Indicative total, MVP to full product$34,000about 3 weeks of creation time · start with the MVP from $10,000

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$80–$160$110–$220
Full productabout 50 customers$110–$210$880–$1,750$990–$1,960
05

Run it or resell it

Internally

For your own team

Professional services team managers run it inside the business: voluntary team diaries and task categories in, aggregate interruption review 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#274891
  • accent#c9aa54
  • surface#e4e8f1
  • ink#22201e
Headings
Sora
Text
Work Sans
Voice
Practical, organised, candid
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 500-2,000 for an initial analysis of one bounded dataset. Offer USD 250-1,000 monthly for repeat reporting at agreed volume. Data cleanup and specialist analysis are separately priced. These are test ranges. For this buyer, package the first sale around run a voluntary two-week diary and the defined aggregate interruption review. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Team-controlled evidence of interruption sources. Demonstrate the result with run a voluntary two-week diary for professional services team managers. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Remote work communities and management coaches

Lead magnet

Run a voluntary two-week diary

The first 30 days

  1. Week 1: interview five prospective buyers from professional services team managers and inspect how they handle unplanned requests consume capacity without a visible record.
  2. Week 2: prepare run a voluntary two-week diary using authorized or synthetic material.
  3. Week 3: share the demonstration through remote work communities and management coaches and seek one bounded paid pilot.
  4. Week 4: measure self-reported disruption and experiment adoption, 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 run a voluntary two-week diary and deliver aggregate interruption review. Compare self-reported disruption and experiment adoption 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

Self-reported disruption and experiment adoption

Retention and expansion

Build repeat use around aggregate interruption review. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on self-reported disruption and experiment adoption. 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

Domain-specific definitions, trusted source mappings and a history connecting findings to actions and observed results. For this concept, accumulate permissioned examples and reviewer corrections around team-controlled evidence of interruption sources. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Analysts, business intelligence dashboards, spreadsheets and general text summarization tools. Position this concept around team-controlled evidence of interruption sources. 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, reconciliation, classification, expert interpretation, customer-specific definitions and recurring reporting support. Initial validation additionally budgets for participant facilitation. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

Safeguards

Confirm owners, decisions and commitments. Keep employee discussion notes access-controlled and avoid covert individual performance inference. No passive employee monitoring or individual ranking. 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.

More in Management

Bring one process you are sick of. In thirty minutes we will tell you whether it can run itself. Book a call.

© 2026 Nexibeo LimitedFounded 2017contact@nexibeo.com