Screenshot of the Customer effort journey diary interactive demo
Screenshot of the interactive demo, on sample data

Customer effort journey diary

Customer-recorded effort across the whole resolution journey.

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For
Service design consultants
Solves
Ticket metrics miss the work customers do outside support channels.
Delivers
Evidence-based effort journey map
Built in
about 4 weeks of creation time, MVP in 5 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 service design consultants, turn consented customer diaries and case timelines into evidence-based effort journey map.

  1. Collect diary entries.
  2. Align support events.
  3. Cluster repeated effort.
  4. Link direct quotes.
  5. Compare journey variants.
  6. Export redesign brief.

What goes in, what comes out

What the customer puts in
  • Consented customer diaries
  • Case timelines

AI drafts, people review. Research evidence workspace with reviewed deliverables.

What the customer gets
  • Evidence-based effort journey map
02

How it works

The workflow

  1. In
    Start with

    Consented customer diaries and case timelines

  2. 1

    The buyer creates a project

  3. 2

    Supplies consented customer diaries and case timelines

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Evidence-based effort journey map

AI does the heavy lifting, people stay in charge

Cluster diary themes while preserving dissenting experiences. 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: Diary intake, Journey map, Friction evidence. Organize work by research question. Show a source library, an evidence matrix and a draft findings panel with linked quotations. Keep contradictory findings and unanswered questions visible. Allow reviewers to inspect the original context before accepting an interpretation. Open with diary intake; move into journey map for the detailed task; finish in friction evidence for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.

Accounts and administration

Source provenance, participant consent where applicable, research questions, coding definitions, reviewer disagreements, citations and versioned conclusions. 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

Support inboxes, help centers, order records and customer feedback systems. Permitted research libraries, interview recording imports, citation exports and document editors. Preserve original source metadata throughout the workflow. Begin with uploads and exports of consented customer diaries and case timelines. 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

    5 days

    One buyer segment, one recurring use case; first modules: collect diary entries; align support events. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    6 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 service design consultants use it to solve "ticket metrics miss the work customers do outside support channels"?
  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 documented repeated steps and research synthesis time. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: Five-person qualitative pilot; no population-wide claims. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: collect diary entries; align support events. Support the third task through an assisted review queue: cluster repeated effort. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of evidence-based effort journey map. 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 evidence-based effort journey map, automate link direct quotes; compare journey variants; export redesign brief. 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. Five-person qualitative pilot; no population-wide claims.

What the build depends on. A clear research protocol, source access, citation tracking and qualified interpretation. Interview work also needs relevant participants and consent management. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Five-person qualitative pilot; no population-wide claims.

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: collect diary entries; align support events. Manual review in the loop.

    $10,000 · about 5 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 6 days of creation time

  3. Phase 3

    Full product

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

    $14,000 · about 2 weeks of creation time

Indicative total, MVP to full product$34,000about 4 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

Service design consultants run it inside the business: consented customer diaries and case timelines in, evidence-based effort journey map 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#916e27
  • accent#5497c9
  • surface#f1ede4
  • ink#22201e
Headings
Archivo
Text
Lora
Voice
Warm, clear, calm under pressure
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 750-3,000 for one tightly bounded research question and evidence pack. Participant recruitment, specialist review and licensed data are separately scoped. Repeat tracking can become a retainer. Prices are hypotheses. For this buyer, package the first sale around map five consented resolution journeys and the defined evidence-based effort journey map. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Customer-recorded effort across the whole resolution journey. Demonstrate the result with map five consented resolution journeys for service design consultants. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Service design agencies and CX research groups

Lead magnet

Map five consented resolution journeys

The first 30 days

  1. Week 1: interview five prospective buyers from service design consultants and inspect how they handle ticket metrics miss the work customers do outside support channels.
  2. Week 2: prepare map five consented resolution journeys using authorized or synthetic material.
  3. Week 3: share the demonstration through service design agencies and CX research groups and seek one bounded paid pilot.
  4. Week 4: measure documented repeated steps and research synthesis time, 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 map five consented resolution journeys and deliver evidence-based effort journey map. Compare documented repeated steps and research synthesis time 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

Documented repeated steps and research synthesis time

Retention and expansion

Build repeat use around evidence-based effort journey map. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on documented repeated steps and research synthesis time. 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

Niche research protocols, credible researcher relationships and a rights-cleared evidence archive with consistent interpretation methods. For this concept, accumulate permissioned examples and reviewer corrections around customer-recorded effort across the whole resolution journey. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Research consultants, internal analysts, literature databases and general search or summarization tools. Position this concept around customer-recorded effort across the whole resolution journey. 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

Researcher time, source access, participant recruitment, transcription, evidence coding, expert review and report revisions. Initial validation additionally budgets for participant incentives and interview transcription. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

Safeguards

Keep customer account access scoped. Escalate missing evidence and consequential exceptions to staff. Review quality alongside any speed measure. Five-person qualitative pilot; no population-wide claims. 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 5 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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