Market Dog . AIMarket Dog . AICreate an account

Turn a functional need into a defensible software decision.

Describe what the solution must do. Weight the requirements that matter. Market Dog . AI helps shortlist candidates, score them on one shared grid, and keep the evidence behind the recommendation.

One study · Weighted requirements · Traceable evidence · Human decision

From research to decision

Compare the market against your requirements.

Each study keeps the need, candidate list, weighted scoring grid, and supporting evidence in one decision trail.

Market-study portfolio with progress metrics and a ready CRM selection study

A portfolio you can steer

See every study, its stage, candidate count, and requirements count from one workspace. Filter, sort, and return to the work when the decision moves.

Ranked CRM candidates with weighted scores, coverage, research confidence, and evidence counts

Scores with receipts

Every candidate is assessed against the same weighted requirements. Rationale, citations, research confidence, and manual edits stay visible.

Analyst recommendation beside the final human decision and selected CRM solution

The trade-offs stay visible

Move from the comparison matrix to a ranked shortlist, then record the selected solution and the accountable human rationale.

Study workflow

From need to analysis, without changing methods halfway through.

Each stage narrows the decision while keeping the assumptions, weights, candidates, scores, and evidence connected.

Frame the need

Describe the functional goal, context, countries, constraints, decision owner, and what is explicitly out of scope.

Weight the requirements

Build business, IT, and purchasing criteria. Mark MUST, SHOULD, and COULD priorities, including disqualifying requirements.

Build the candidate set

Add solutions yourself or use AI suggestions, verify official websites, and keep only the candidates worth analysing.

Compare, then decide

Review AI scores and evidence, adjust any cell, compare the ranking, and record the final human decision with its rationale.

Decisions this fits

A consistent method for every software choice.

Use the same evidence-backed workflow whether you are exploring a new category or challenging an incumbent.

Select a new solution

Translate a business need into weighted requirements, discover plausible candidates, and compare functional fit before committing.

Challenge an existing tool

Set the incumbent as the baseline, state why it may be replaced, and compare alternatives against the same decision criteria.

Prepare a procurement decision

Give stakeholders a consolidated matrix, documented scores, candidate profiles, and exports they can review outside the app.

Manage recurring studies

Keep in-progress and ready studies, plus earlier saved versions, organised so the next decision starts from a clear record.

Questions, answered

What decision teams ask before they start.

The essentials about the method, the AI, and the resulting evidence.

What is Market Dog . AI, in one line?

An AI-assisted market-study workspace that turns a functional need into weighted requirements, a candidate shortlist, an evidence-backed comparison, and a recorded human decision.

Why not use a spreadsheet and web search?

A spreadsheet can hold scores, but it does not keep the need, weighting method, candidate research, citations, confidence, ranking, and final rationale connected. Market Dog . AI keeps that decision trail in one study.

What does the AI actually do?

It can refine the need, propose criteria, suggest candidates, and score solutions against the grid with rationale and citations. Suggestions remain reviewable, scores stay editable, and the final decision remains human.

What can I share with stakeholders?

Export the study as Word, PowerPoint, PDF, Excel, Markdown, or JSON. The report includes the shortlist, matrix, evidence, candidate profiles, and recorded decision available at export time.

Can we control which AI provider is used?

Yes. AI is configured per workspace, with a platform option or your own provider key. Stored keys are encrypted, and study access remains scoped to workspace membership.

How do I start a study?

Create a study, describe the need and target countries, then review the weighted requirements before adding candidates. You control every stage before analysis begins.