Phone interviews
Let people request a call now. Enable scheduled callbacks so they can choose an available time for later.
For teams that need more than forms
Run agentic conversations by voice or chat, grounded in your knowledge. Get researcher-level depth and human-level empathy, at scale and for a fraction of the cost.
The limits of forms and manual interviews
Understanding what people need takes follow-up questions. Asking them yourself takes time. Making sense of every answer takes more.
People can skip open questions or give a short reply. The reason behind their answer stays unexplored.
Every conversation takes someone’s time. More interviews require more capacity and coordination.
Your team still has to read through transcripts, pull out what matters, and decide what happens next.
A sample interview
The Betterstood solution
AI agents conduct adaptive interviews. Betterstood analyzes the responses and triggers the next steps you configure.
Choose the questions to explore and how to analyze the answers.
Invite people with a link or an interview embedded on your site.
AI agents ask follow-up questions over voice or chat.
Review structured answers, summaries, and supporting quotes.
Use your rules to send follow-ups, alert your team, or trigger integrations.
Built around your questions
As flexible as a form, with the depth of a conversation. Shape the questions and analysis around what you need to know. These are just a few examples. Bring your own use case.
Help performance marketing agencies, RevOps teams, and sales teams qualify inbound leads by understanding their needs, priorities, and buying timeline.
Example: A performance marketing agency qualifies leads from paid campaigns and shares their needs and buying timeline with the client’s sales team.
Understand how people use your product, what they need, and where they get stuck.
Example: Discover how people use your app in their daily workflow and where they need workarounds.
Go beyond ratings to understand what worked, what disappointed, and what to improve.
Example: A product team explores why customers cancel their subscription.
Explore different perspectives and the experiences and reasoning behind them.
Example: A community asks members why they support or oppose a proposed change.
Understand why someone is getting in touch and collect the context needed for a useful response.
Example: A person describes an accident, so the team can review the details before following up.
Collect the person’s situation, goals, and questions so your team can prepare for the appointment.
Example: A homeowner explains their energy goals before a solar consultation.
Collect the information your team needs to assess fit, understand urgency, and prioritize the next step.
Example: A support team reviews a complex request to decide how urgently it needs specialist attention.
What adaptive means
Each answer shapes what comes next. Your interviewer adjusts its questions, wording, and pace to the person's context, so the conversation stays relevant as it unfolds.
questions that are already answered or no longer relevant.
the next question in language that matches the respondent.
when someone is busy, confused, careful, or ready to go deeper.
when the important signal is hidden behind the first answer.
The agent stops when someone asks to end the interview, or when your configured criteria call for an early close. You choose the closing message.
Multichannel conversations
Run interviews by phone, directly in the browser, or through written chat. Choose the channel that fits your workflow.
Let people request a call now. Enable scheduled callbacks so they can choose an available time for later.
Let people speak with your interviewer directly on the page, using their microphone.
Let people answer in writing over more than one sitting, with previous answers saved.
They can resume on the same device before seven days of inactivity or 30 days from the start.
Hybrid interviews
Start with quick questions for straightforward details, then let the interviewer explore the motivations and context behind the answers.
Use yes/no, multiple choice, or short fields for information people can give in a few taps.
The interviewer starts with the answers already given and focuses on what still needs explaining.
Initial answers and the conversation stay together in one record for analysis.
Configurable intelligence
After each interview, AI agents analyze the transcript using the questions and categories you define. Get structured answers and a clear summary without reviewing every conversation yourself.
Illustrative interview result
We need a solution this week. Can someone walk me through the next steps?
Configured next step
Email an invitation with your booking link
Choose the questions your analysis should answer and the categories it should use: urgency as high, medium, or low; needs by product or service; readiness by next step. You decide what to look for.
Get answers, a summary, your categories, and supporting quotes in one record. Scores show intent and how complete the answers are; missing information shows what still needs clarification.
Read the transcript and check the quotes behind a result. Listen back to available recordings for quality checks or a closer look at a specific interview.
Understand your data
Once each interview is analyzed, explore what the responses reveal together. Ask questions, compare perspectives, and build audiences for the next step.
Ask questions across interviews that use the same setup, explore the responses, and follow up to go deeper. An AI agent helps you work through the data, with answers linked to their sources.
Find patterns across interviews, compare perspectives, and examine the cases that challenge an emerging conclusion.
Inspired by Grounded Theory, the workflow develops categories from interview evidence, compares cases, and looks for exceptions. Findings link back to the transcripts so you can review the evidence and the interpretation.
Create, filter, and export Smart Audiences from what respondents said and how their interviews were classified. For example, find people with an urgent need and strong interest, then export that segment for your team to follow up.
Enable overnight reviews of recent conversations to spot repeated questions, signs of frustration, and missed opportunities, backed by quotes from the transcripts. Interviewer Coach suggests improvements to your questions and approach. You review and approve every change.
Actions & integrations
Decide what should happen after an interview is analyzed. When your conditions match, Betterstood sends a follow-up, alerts your team, or starts a workflow in your connected tools.
Use the classifications and scores from your analysis. Require all conditions to match, or just one. Set the order of your rules; the first match determines the action.
Send the respondent an email, notify a team member by email, or post an alert in your connected Slack workspace. You choose the action and write the message.
Send structured interview results through webhooks to your own systems or a workflow in n8n, Zapier, or HubSpot. Update your CRM, route a lead, or coordinate the next steps across your tools.
EU readiness
Tell people they are talking to AI, keep optional choices separate, and record the notices and choices. Betterstood builds these controls into the interview workflow and limits how long raw conversation data is kept.
Implemented controls and current readiness, not a certification claim.
People see Betterstood's standard AI notice and your configured interview disclaimer before they begin.
People must acknowledge the notice. Optional choices, such as marketing, stay separate and are never preselected.
Save the exact notice version each person saw and the choices they made. Spoken AI disclosure is kept as separate conversation evidence.
Raw transcripts and provider activity records have a 90-day retention window. Provider recordings are deleted when that window ends.
Agent-first
Connect your AI agents to Betterstood via MCP or the Betterstood CLI. Let them create and refine interviews, define how responses should be analyzed, and prepare campaign drafts from the tools you already use.
Your agent works with the same interview and campaign drafts you see in Betterstood.
Pricing · Closed beta
For one person
$19/month
1,000 credits included
Run voice interviews and analyze the responses.
For teams
$219/month
12,000 credits included
Everything in Pro, plus knowledge base support, workflow webhooks and MCP.
1,000 credits cover around 50 browser calls of 3 min, including standard analysis. Usage varies by channel and duration.
We also offer pay as you go and enterprise plans.
Product overview
betterstood.com
For teams that need more than forms
Run agentic conversations by voice or chat, grounded in your knowledge. Get researcher-level depth and human-level empathy, at scale and for a fraction of the cost.
Choose the questions to explore and how to analyze the answers.
Invite people with a link or an interview embedded on your site.
AI agents ask follow-up questions over voice or chat.
Review structured answers, summaries, and supporting quotes.
Use your rules to send follow-ups, alert your team, or trigger integrations.
Configurable intelligence
Get answers, a summary, your categories, and supporting quotes in one record. Scores show intent and how complete the answers are; missing information shows what still needs clarification.
Read the transcript and check the quotes behind a result. Listen back to available recordings for quality checks or a closer look at a specific interview.
Built around your questions
Tell people they are talking to AI, keep optional choices separate, and record the notices and choices. Betterstood builds these controls into the interview workflow and limits how long raw conversation data is kept.
Implemented controls and current readiness, not a certification claim.