Habit and task progress practice platform

For

Managers, team leads and facilitators running habit-building or task-progress programmes

Solves

Habit, task, coaching and reporting tools sit in separate subscriptions, so progress data, reminders and approvals never line up.

Delivers

Reviewed progress record linked to each participant

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$14,000 for the MVP, $47,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce tool sprawl while keeping habit and task progress visible and reviewable.

1. Create, track and update habits and tasks.
2. Send reminders and notifications for consistent progress.
3. Show progress statistics and data-driven insights.
4. Set personalised goals per participant.
5. Generate AI progress reports for review.
6. Attach expert-curated habit-building content.
7. Run a community space for motivation and accountability.
8. Configure coaching style per participant.
9. Auto-prioritise and schedule activities from behaviour.
10. Display customisable real-time dashboards.
11. Coordinate team tasks and shared tracking.
12. Submit and track change requests with status updates.
13. Apply configurable approval workflows.
14. Keep audit trails and compliance reporting.
15. Repair missed days with a forgiving progress model.
16. Provide home screen widgets for gentle nudges.
17. Deliver practice-first exercises with minimal instruction.
18. Personalise lesson paths from individual progress.
19. Give instant feedback on exercises.
20. Issue shareable skill certificates.

Everything these tools do, in one app

• Habit and task tracking Lets users create, track, and update habits or tasks to monitor their progress.Found in Habit Driven, Sun, uLuup
• Reminders and notifications Sends reminders or notifications to encourage consistent progress.Found in Sun, Dr. Change, uLuup
• Progress statistics and insights Provides detailed statistics or data-driven insights on habit patterns and progress.Found in Habit Driven, Sun, Neurture
• Custom goal setting Allows users to set personalized goals tailored to their needs.Found in Sun
• Personalized AI reporting Uses AI to generate custom reports and insights for personal growth.Found in Habit Driven
• Expert-curated content Offers access to content from experts to guide habit building.Found in Habit Driven
• Community support Provides a community platform for motivation and accountability.Found in Habit Driven
• Customizable coaching Allows users to tailor their coaching experience.Found in Habit Driven
• Automated task management Automatically prioritizes and schedules activities based on user behavior.Found in Neurture
• Customizable dashboards Enables users to monitor progress and key metrics in real time.Found in Neurture
• Team collaboration Facilitates team coordination and shared task tracking.Found in Neurture
• Change request tracking Allows submission and tracking of change requests with real-time status updates.Found in Dr. Change
• Approval workflows Provides customizable approval workflows to match organizational policies.Found in Dr. Change
• Audit trails and reporting Offers detailed reporting and audit trails for compliance and analysis.Found in Dr. Change
• Forgiving progress model Repairs missed days with a kintsugi-inspired visual metaphor to reduce guilt.Found in uLuup
• Home screen widgets Provides widget support for gentle nudges from the home screen.Found in uLuup
• Practice-first lessons Delivers hands-on exercises with minimal instruction for active learning.Found in Cosmo
• Adaptive learning paths Personalizes content based on individual progress.Found in Cosmo
• Instant feedback Provides immediate feedback on exercises to guide improvement.Found in Cosmo
• Shareable certificates Offers certificates that validate practical skills for professional profiles.Found in Cosmo

What goes in, what comes out

The workflow

1. In
   Start with

   Tracked habits, tasks, goals, reminders, coaching settings and approval rules

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect tracked habits

4. 3

   Tasks

5. 4

   Goals

6. 5

   Reminders

7. 6

   Coaching settings and approval rules

8. 7

   Then follow this sequence: 1

9. Out
   Finish with

   Reviewed progress record linked to each participant

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three 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 programme type and one approval policy; final coaching, approval and compliance decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Programme setup and goals, Editable practice preview, Participant progress and delivery. Use a thumbnail gallery for programmes, a large central practice canvas, and a right-hand panel for goals, reminders, approvals and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a participant preview link with comments anchored to the relevant habit or task. Make the task-specific outcome a reviewed progress record linked to each participant visible beside its evidence, review state and value baseline.

Accounts and administration

Programme ownership, participant versions, comments, approval states, usage allowances, revision limits, download 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

Participant-owned habit and task records, authorized programme content and permitted research sources. Cloud storage, calendar and messaging import/export and reporting 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.

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: create, track and update habits and tasks; send reminders and notifications for consistent progress. 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 managers, team leads and facilitators running habit-building or task-progress programmes use it to solve "habit, task, coaching and reporting tools sit in separate subscriptions, so progress data, reminders and approvals never line up"?
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: Reviewed progress records per facilitator hour and corrections after approval.
4. Measure, then decide. Track reviewed progress records per facilitator hour and corrections after approval; 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 programme type and one approval policy; final coaching, approval and compliance decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: create, track and update habits and tasks; send reminders and notifications for consistent progress. Support the third module with operator review: show progress statistics and data-driven insights. 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 a reviewed progress record linked to each participant. Retain the explicit scope boundary: One programme type and one approval policy; final coaching, approval and compliance decisions remain human.

What the build depends on. Input upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity programme delivery requires specialist management QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One programme type and one approval policy; final coaching, approval and compliance decisions remain human.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

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.

Your brand, or this one

Run it under your own brand, or start from this concept style.

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 programme package. Offer a monthly production allowance after repeat demand. Quote complex multi-team or compliance-heavy programmes separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed progress record linked to each participant. 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 tool sprawl while keeping habit and task progress visible and reviewable. Demonstrate a concrete reviewed progress record linked to each participant using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Managers, team leads and facilitators running habit-building or task-progress programmes professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample progress record linked to each participant from a small authorized input set, with a transparent calculation of reviewed progress records per facilitator hour and corrections after approval and no promised savings.

The first 30 days

1. Week 1: interview five managers, team leads and facilitators running habit-building or task-progress programmes and inspect a recent example of habit, task, coaching and reporting tools sitting in separate subscriptions, so progress data, reminders and approvals never line up.
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 reviewed progress records per facilitator hour and corrections after approval, 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: Reviewed progress records per facilitator hour and corrections after approval. 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

Reviewed progress records per facilitator hour and corrections after approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs a reviewed progress record linked to each participant. 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 programme templates, coaching constraints and review 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 managers, team leads and facilitators running habit-building or task-progress programmes. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Habit Driven, Sun, Neurture, Dr. Change, uLuup and Cosmo, plus spreadsheets and generic task apps. Compare this product with the buyer's present method on reviewed progress records per facilitator hour and corrections after approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, storage, reviewer hours, participant revision rounds and licensed source content. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of a reviewed progress record linked to each participant. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve participant voice, source attribution, record accuracy and usage permissions. Participants and managers approve substantive changes and programme scope. One programme type and one approval policy; final coaching, approval and compliance decisions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.