Agentplace

AI agent for ux research consultancies

Your AI UX research planning agent. A research plan built around one decision.

Create an AI UX research planning agent with its own page and URL. Help your clients receive a focused research plan with participant criteria, research questions, and an interview guide through conversation.

Research focus, clarified through conversation.

VVector Research StudioLLuma's session

UX research planning agent preview

Luma's research plan for report adoption

Luma, this study will inform whether to test a clearer first-report flow. It focuses on people who tried the feature and stopped, with demand questions kept separate from comprehension.

5 target interviews3 opening questions2 days proposed
Current resultRecruitment draft

No participants have been recruited or interviewed yet.

Report adoption study plan

015 target interviews

Decision and sample

The decision is whether to prototype a clearer first-report flow. The target sample is five customers who opened the builder in the past 30 days but did not save a first report. Eligibility still needs account-record confirmation.

023 opening questions

Interview guide

“Tell me about the last report you tried to make.” “What did you expect after choosing a data source?” “Where did you stop, and what did you do instead?” These precede any feature pitch.

032 days proposed

Evidence plan

Five 30-minute interviews fit two planned research days. Notes will separate navigation confusion, missing inputs, and lack of need. Recruitment access and participant consent remain outstanding.

Add a recruitment constraintReview the interview guide
Ask about your result or add a detail
01

Your client starts a conversation.Luma clarifies that the immediate decision concerns the first-report experience.

02

The page becomes their result.The plan now specifies participant behavior, interview questions, and the evidence the study will collect.

Illustrative preview
Vlad Yanch

Template by Vlad Yanch

  • 10 minFirst demo
  • 2-3 hoursWorking agent
  • 1 clickPublish

Overview

An AI UX research planning agent gives your clients a focused research plan with participant criteria, research questions, and an interview guide. Agentplace gives this agent its own page and URL. Clients open the link and use text or voice to work through the product decision, known evidence, target users, deadline, and recruitment constraints.

Your agent uses your research methods, participant screening standards, question-writing rubric, and plan templates. It asks the follow-up question that changes this result. Are you testing whether users understand the feature or whether they want the underlying outcome? The page keeps the relevant evidence, choices, and result together as the client responds.

Luma wants to investigate low adoption of a new reporting feature. The agent distinguishes comprehension questions from demand questions and narrows the study to one decision.

Offer this as a defined digital service from your business. Clients can pay for the AI-assisted service itself, or use it within an existing engagement. You can also connect a follow-up appointment with the completed result attached.

Start free with your business idea. Our AI builder can help you explore it, answer questions, and create your agent. No technical specification needed. Sign in to continue.

What you get

AI UX research planning agent for ux research consultancies

An AI UX research planning agent gives your clients a focused research plan with participant criteria, research questions, and an interview guide. Agentplace gives this agent its own page and URL. Clients open the link and use text or voice to work through the product decision, known evidence, target users, deadline, and recruitment constraints.

Offer this as a defined digital service from your business. Clients can pay for the AI-assisted service itself, or use it within an existing engagement. You can also connect a follow-up appointment with the completed result attached.

Ask the question that matters

Use the answers to determine which information belongs in this client's result.

Deliver the plan

Keep decision, participants, interview guide visible alongside the explanation.

Continue the client service

Clients can pay for the AI-assisted service itself, or use it within an existing engagement. You can also connect a follow-up appointment with the completed result attached.

  • UX research planning agent
  • Decision
  • Participants
  • Interview guide
  • Text and voice interaction
  • Your own client URL

A plan proposes a method and does not claim results before research occurs. Keep participant access, recruitment limits, and consent requirements explicit.

Why it's the best fit

Why conversation matters for this service

Are you testing whether users understand the feature or whether they want the underlying outcome? That answer changes research focus and the result your client receives.

Your agent uses your research methods, participant screening standards, question-writing rubric, and plan templates. It asks the follow-up question that changes this result. Are you testing whether users understand the feature or whether they want the underlying outcome? The page keeps the relevant evidence, choices, and result together as the client responds.

Your AI UX research planning agent

One specialist. The whole client experience.

The extra workWith traditional tools

Websites, fixed-flow apps, and chat widgets.

01The client experience
Understand the real request

Ask about the product decision, known evidence, target users, deadline, and recruitment constraints. Use the answers to determine which information belongs in this client's result.

With traditional toolsA service description

A service page can describe UX research planning agent. The client still needs to resolve this question before receiving a useful result. Are you testing whether users understand the feature or whether they want the underlying outcome?

Keep revisions consistent

Luma wants to investigate low adoption of a new reporting feature. The agent distinguishes comprehension questions from demand questions and narrows the study to one decision. The working result changes from general satisfaction study to report adoption study.

With traditional toolsA fixed form

A fixed form records the initial answer. Changing research focus requires the affected sections and supporting records to be updated together.

Show the work and its sources

Present a focused research plan with participant criteria, research questions, and an interview guide. Keep decision, participants, interview guide visible alongside the explanation.

With traditional toolsA separate chat widget

A standalone chat can explain a topic. Delivering a focused research plan with participant criteria, research questions, and an interview guide also needs the source records, relevant tools, and a visible result the client can inspect.

02Everything that comes with your agent
Your service method

Use your research methods, participant screening standards, question-writing rubric, and plan templates.

With traditional toolsSeparate reference documents

The client or service team has to find the applicable rule and carry it into the result.

A useful follow-up

Are you testing whether users understand the feature or whether they want the underlying outcome? Preserve the client's answer with the result.

With traditional toolsAnother message exchange

The answer about research focus may sit in a separate email or call note.

Connected delivery

Pass the completed plan and its source context through your configured delivery process.

With traditional toolsManual transfer

Someone must assemble the result and its supporting detail before sharing it.

Some traditional tools offer individual capabilities. Agentplace brings them into one AI service. Connect the payments, calendar, phone, CRM, and follow-up channels you want to use.

How it works

Create your AI UX research planning agent

Start with one defined client service and test the choices that change its result. Test how the client changes general satisfaction study to report adoption study. The result should preserve the supporting context when it updates.

  1. 01

    Add your service knowledge

    Provide your research methods, participant screening standards, question-writing rubric, and plan templates. Include a representative client input and a completed plan so the expected result is clear.

  2. 02

    Test the meaningful change

    Test the change from general satisfaction study to report adoption study. Check that the affected research focus and its explanation update consistently. A plan proposes a method and does not claim results before research occurs. Keep participant access, recruitment limits, and consent requirements explicit.

  3. 03

    Publish your client agent

    Publish the agent at its own URL and share it with clients who need a focused research plan with participant criteria, research questions, and an interview guide. Configure Google Docs and the delivery or follow-up connections that belong to your service.

Made for your kind of business

Built for ux research consultancies

UX research consultancies

Offer a focused research plan with participant criteria, research questions, and an interview guide without rebuilding the same explanation for each client.

Client service leads

Resolve research focus with the client and carry the source details into the existing service process.

Start with your specialtyUX research consultanciesClient service teams

Your service, your starting point

Your method and source material

The service starts with your research methods, participant screening standards, question-writing rubric, and plan templates. Choose the relevant apps below and connect the accounts your agent should use.

Create my AI agent

GitHub

Read permitted code and project issues. Connect the relevant account and choose which records and actions the agent can use.

Figma

Review shared interface designs and comments. Connect the relevant account and choose which records and actions the agent can use.

Asana

Create agreed project tasks for your team. Connect the relevant account and choose which records and actions the agent can use.

Notion

Use the client's requirements and documentation. Connect the relevant account and choose which records and actions the agent can use.

Calendly

Schedule a project scoping review. Connect the relevant account and choose which records and actions the agent can use.

Gmail

Deliver the agreed project plan. Connect the relevant account and choose which records and actions the agent can use.

Integrations

Tools your AI UX research planning agent can connect

Connect the tools you use to deliver this service. Your agent can use their records and actions while helping clients on its own page. Choose the relevant connections below and decide what it can read, create, or send.

  • GitHubRead permitted code and project issues
  • FigmaReview shared interface designs and comments
  • AsanaCreate agreed project tasks for your team
  • NotionUse the client's requirements and documentation
  • CalendlySchedule a project scoping review
  • GmailDeliver the agreed project plan
Agentplace
Your AI
UX research planning agent

Your expertise.
Their personal result.
One connected service.

Start with your materials. Add the connections your client service needs.

Go further with 1,000+ integrations.

Agentplace connects to business tools through Composio's catalog of over 1,000 integrations. These six examples are a starting point. Choose the apps and actions your agent needs while clients keep working on its page.

Available connections depend on the app's API and your account permissions.

Browse the integration catalog

Connected agents

Connect to your ChatGPT or Claude agents

The client works with your Agentplace UX research planning agent. If you already use other agents or automations, connect only the supporting tasks that belong to this service.

A configured supporting workflow can read the product decision brief, then match methods and participant criteria. It returns its output to the client-facing agent for the same service.

Your clients Luma

A plan for one product decision

No participants have been recruited or interviewed yet.
Agentplace
Your AI
UX research planning agent

Your expertise.
Their personal result.
One connected service.

Your back-office agents
ChatGPT
Claude
  • Read the product decision brief
  • Match methods and participant criteria
  • Return the research plan and guide
Your client keeps working with the same AI UX research planning agent. Connected tools and agents return supporting results to that service.

A few things to know

AI UX research planning agent FAQ

What is an AI agent for UX research planning?

An AI UX research planning agent gives your clients a focused research plan with participant criteria, research questions, and an interview guide. Agentplace gives this agent its own page and URL. Clients open the link and use text or voice to work through the product decision, known evidence, target users, deadline, and recruitment constraints.

What does the client receive?

A focused research plan with participant criteria, research questions, and an interview guide. Luma clarifies that the immediate decision concerns the first-report experience. The plan now specifies participant behavior, interview questions, and the evidence the study will collect. The preview is a fictional example.

What should I provide before launch?

Provide your research methods, participant screening standards, question-writing rubric, and plan templates. Define the expected inputs, the result format, and the questions that require more information. Test the service with general satisfaction study and report adoption study so the changed requirement is reflected throughout the result.

How does this differ from a form or chat widget?

Your agent uses your research methods, participant screening standards, question-writing rubric, and plan templates. It asks the follow-up question that changes this result. Are you testing whether users understand the feature or whether they want the underlying outcome? The page keeps the relevant evidence, choices, and result together as the client responds. The AI agent controls the whole result page, so the current plan, supporting detail, and next question remain visible together.

Which tools can my AI agent connect?

GitHub can read permitted code and project issues. Figma can review shared interface designs and comments. Asana can create agreed project tasks for your team. These are examples from Composio's catalog of over 1,000 integrations. Choose the relevant apps and account permissions for your service. Clients keep working with your AI agent on its own page.

What should this service not claim?

A plan proposes a method and does not claim results before research occurs. Keep participant access, recruitment limits, and consent requirements explicit.

Can this support my existing business model?

Offer this as a defined digital service from your business. Clients can pay for the AI-assisted service itself, or use it within an existing engagement. You can also connect a follow-up appointment with the completed result attached.

Is the preview live?

No. The preview illustrates Luma's fictional experience. Your working agent needs your materials and the connections you choose. The displayed launch times are planning estimates for a demo and a configured service, not a delivery guarantee.

What platform does the AI UX research planning agent run on?

It runs on Agentplace. Agentplace is an AI agent platform where the agent gets its own page, talks to your visitors there, and carries the request through to the end instead of handing it to a form. You can open this template and change any step before you publish it.

AI UX research planning agent

Create your AI UX research planning agent.
A research plan built around one decision.

Help clients receive a focused research plan with participant criteria, research questions, and an interview guide using your method and chosen tools.

Create my AI agent