Screenshot of the Marketing customer-question frequency desk interactive demo
Screenshot of the interactive demo, on sample data

Marketing customer-question frequency desk

Frequency shown separately from importance.

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For
Content strategy teams
Solves
Frequently asked questions are confused with important questions.
Delivers
Reviewed question priority brief
Built in
about 4 weeks of creation time, MVP in 4 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
01

What it does

For content strategy teams, turn authorized aggregated questions and business priorities into reviewed question priority brief.

  1. Cluster question types.
  2. Preserve rare high-impact issues.
  3. Draft content priorities.
  4. Link proposed outputs to original source records.
  5. Capture reviewer corrections and approval.
  6. Export a versioned reviewed question priority brief.

What goes in, what comes out

What the customer puts in
  • Authorized aggregated questions
  • Business priorities

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

What the customer gets
  • Reviewed question priority brief
02

How it works

The workflow

  1. In
    Start with

    Authorized aggregated questions and business priorities

  2. 1

    The buyer creates a project

  3. 2

    Supplies authorized aggregated questions and business priorities

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Reviewed question priority brief

AI does the heavy lifting, people stay in charge

AI assists these bounded tasks: cluster question types; preserve rare high-impact issues; draft content priorities. Use only authorized aggregated questions and business priorities and preserve uncertainty in reviewed question priority brief. 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, Marketing customer-question frequency desk, Review and delivery. 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 brief and sources; move into marketing customer-question frequency desk 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

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

Approved brand material, campaign exports and authorized customer research. Read-only business data exports, reporting databases and task trackers. Reconcile source totals before scheduling recurring data refreshes. Begin with uploads and exports of authorized aggregated questions and business priorities. 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: cluster question types; preserve rare high-impact issues. 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

    10 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 content strategy teams use it to solve "frequently asked questions are confused with important questions"?
  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 answered priority questions; 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 authorized aggregated questions and business priorities. 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: cluster question types; preserve rare high-impact issues. Support the third task through an assisted review queue: draft content priorities. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of reviewed question priority brief. 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 reviewed question priority brief, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned reviewed question priority 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. One organization, one defined input format and one representative pilot batch using authorized aggregated questions and business priorities. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

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: One organization, one defined input format and one representative pilot batch using authorized aggregated questions and business priorities. 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: cluster question types; preserve rare high-impact issues. Manual review in the loop.

    $14,000 · 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.

    $14,000 · about 5 days of creation time

  3. Phase 3

    Full product

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

    $19,500 · about 10 days of creation time

Indicative total, MVP to full product$47,500about 4 weeks of creation time · start with the MVP from $14,000

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

Content strategy teams run it inside the business: authorized aggregated questions and business priorities in, reviewed question priority brief 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#272e91
  • accent#b8c954
  • surface#e4e5f1
  • ink#22201e
Headings
Playfair Display
Text
Source Sans 3
Voice
Energetic, specific, results-minded
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 prepare a sample reviewed question priority brief from a small authorized set of authorized aggregated questions and business priorities and the defined reviewed question priority brief. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Frequency shown separately from importance. Demonstrate the result with prepare a sample reviewed question priority brief from a small authorized set of authorized aggregated questions and business priorities for content strategy teams. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Marketing operations communities and specialist agencies

Lead magnet

Prepare a sample reviewed question priority brief from a small authorized set of authorized aggregated questions and business priorities

The first 30 days

  1. Week 1: interview five prospective buyers from content strategy teams and inspect how they handle frequently asked questions are confused with important questions.
  2. Week 2: prepare prepare a sample reviewed question priority brief from a small authorized set of authorized aggregated questions and business priorities using authorized or synthetic material.
  3. Week 3: share the demonstration through marketing operations communities and specialist agencies and seek one bounded paid pilot.
  4. Week 4: measure answered priority questions; 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 reviewed question priority brief from a small authorized set of authorized aggregated questions and business priorities and deliver reviewed question priority brief. Compare answered priority questions; 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

Answered priority questions; reviewer correction minutes; buyer acceptance and repeat purchase

Retention and expansion

Build repeat use around reviewed question priority brief. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on answered priority questions; 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

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 frequency shown separately from importance. 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 frequency shown separately from importance. 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 representative sample preparation, interviews with content strategy teams, and buyer-side review of reviewed question priority brief. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

Safeguards

Verify product claims and permissions. Distinguish observed campaign results from causal explanations and keep customer data collection authorized. One organization, one defined input format and one representative pilot batch using authorized aggregated questions and business priorities. 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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