Screenshot of the Educational field-note coding lab interactive demo
Screenshot of the interactive demo, on sample data

Educational field-note coding lab

Practice methodological distinctions on examples.

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For
Qualitative methods instructors
Solves
Students struggle to distinguish observation from interpretation.
Delivers
Instructor-reviewed practice activity
Built in
about 5 weeks of creation time, MVP in 6 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 qualitative methods instructors, turn consented examples and approved rubrics into instructor-reviewed practice activity.

  1. Separate note types.
  2. Compare coding choices.
  3. Explain evidence gaps.
  4. Link proposed outputs to original source records.
  5. Capture reviewer corrections and approval.
  6. Export a versioned instructor-reviewed practice activity.

What goes in, what comes out

What the customer puts in
  • Consented examples
  • Approved rubrics

AI drafts, people review. Role-based learning platform and course authoring console.

What the customer gets
  • Instructor-reviewed practice activity
02

How it works

The workflow

  1. In
    Start with

    Consented examples and approved rubrics

  2. 1

    The buyer creates a project

  3. 2

    Supplies consented examples and approved rubrics

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Instructor-reviewed practice activity

AI does the heavy lifting, people stay in charge

AI assists these bounded tasks: separate note types; compare coding choices; explain evidence gaps. Use only consented examples and approved rubrics and preserve uncertainty in instructor-reviewed practice activity. 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, Educational field-note coding lab, Review and delivery. Provide a learner home with the next useful lesson, a practice activity and progress evidence. Give authors a source-linked course editor and assessment review queue. Supervisors see completed tasks and explicit sign-offs. Use short modules that work on mobile as well as desktop. Open with brief and sources; move into educational field-note coding lab 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

Learner enrollment, content versions, assessment review, role pathways, accessibility options, supervisor sign-off, progress records and source update alerts. 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

Learning resources, course portals and educator review processes. Learning portals, employee or member directories and completion exports. Validate standards and identity requirements before promising native LMS compatibility. Begin with uploads and exports of consented examples and approved rubrics. 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

    6 days

    One buyer segment, one recurring use case; first modules: separate note types; compare coding choices. 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

    3 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 qualitative methods instructors use it to solve "students struggle to distinguish observation from interpretation"?
  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 rubric-aligned coding accuracy; 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 consented examples and approved rubrics. 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: separate note types; compare coding choices. Support the third task through an assisted review queue: explain evidence gaps. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of instructor-reviewed practice activity. 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 instructor-reviewed practice activity, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned instructor-reviewed practice activity. 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 consented examples and approved rubrics. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

What the build depends on. Clear objectives, licensed or approved sources, validated assessments, learner state and source-change tracking. Media and accessibility requirements affect production effort. 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 consented examples and approved rubrics. 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: separate note types; compare coding choices. Manual review in the loop.

    $13,000 · 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.

    $13,000 · about 7 days of creation time

  3. Phase 3

    Full product

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

    $18,000 · about 3 weeks of creation time

Indicative total, MVP to full product$44,000about 5 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–$110$80–$170
Full productabout 50 customers$110–$210$420–$840$530–$1,050
05

Run it or resell it

Internally

For your own team

Qualitative methods instructors run it inside the business: consented examples and approved rubrics in, instructor-reviewed practice activity 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#919127
  • accent#6a54c9
  • surface#f1f1e4
  • ink#22201e
Headings
Sora
Text
Work Sans
Voice
Encouraging, patient, precise
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 750-3,000 for one custom learning pathway, then USD 10-40 per active learner monthly with a minimum account fee. Public memberships may use lower fixed subscriptions. Prices are experiments, not benchmarks. For this buyer, package the first sale around prepare a sample instructor-reviewed practice activity from a small authorized set of consented examples and approved rubrics and the defined instructor-reviewed practice activity. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Practice methodological distinctions on examples. Demonstrate the result with prepare a sample instructor-reviewed practice activity from a small authorized set of consented examples and approved rubrics for qualitative methods instructors. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Educator associations and specialist training providers

Lead magnet

Prepare a sample instructor-reviewed practice activity from a small authorized set of consented examples and approved rubrics

The first 30 days

  1. Week 1: interview five prospective buyers from qualitative methods instructors and inspect how they handle students struggle to distinguish observation from interpretation.
  2. Week 2: prepare prepare a sample instructor-reviewed practice activity from a small authorized set of consented examples and approved rubrics using authorized or synthetic material.
  3. Week 3: share the demonstration through educator associations and specialist training providers and seek one bounded paid pilot.
  4. Week 4: measure rubric-aligned coding accuracy; 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 instructor-reviewed practice activity from a small authorized set of consented examples and approved rubrics and deliver instructor-reviewed practice activity. Compare rubric-aligned coding accuracy; 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

Rubric-aligned coding accuracy; reviewer correction minutes; buyer acceptance and repeat purchase

Retention and expansion

Build repeat use around instructor-reviewed practice activity. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on rubric-aligned coding accuracy; 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 reviewed niche curriculum, realistic practice tasks and evidence of useful learning outcomes in a defined role. For this concept, accumulate permissioned examples and reviewer corrections around practice methodological distinctions on examples. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Courses, internal trainers, learning management systems and static training documents. Position this concept around practice methodological distinctions on examples. 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

Instructional design, subject review, media production, assessment validation, learner support and content refreshes. Initial validation additionally budgets for representative sample preparation, interviews with qualitative methods instructors, and buyer-side review of instructor-reviewed practice activity. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

Safeguards

Use educator-reviewed content and answer keys. Apply appropriate access and consent for learner records and distinguish completion from demonstrated learning. One organization, one defined input format and one representative pilot batch using consented examples and approved rubrics. 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 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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