What KogniFeed is

  • A platform for conversational surveys and AI moderated interviews
  • Conversational interviewing with blueprint fields, CRM, projects, and analysis hub
  • Built for qualitative research at scale with structured output

What KogniFeed is not

  • A generic form builder with fixed question lists only
  • A live user-testing panel marketplace
  • Anonymous web analytics or heatmaps
Conversation turning into insight — KogniFeed

Voice & Text Conversations · Analysis · Adaptive follow-ups

The clearest way to understand yourcustomers

The leading conversational agent platform. Move from one-off surveys to continuous AI interviews — an autonomous listening loop that deepens with every response. Run text chats or full voice conversations where the agent speaks aloud and participants reply by microphone or keyboard.

Conversational surveys guideAI moderated interviews

Built for product, research, and customer teams

Four gaps traditional tools never close together

Surveys scale but stay shallow. Interviews go deep but barely reach. Kognifeed is built to win on creation speed, conversational depth, participant interest, and analysis — in one loop.

Interviews that start in an afternoon

Describe what you need to learn — the builder drafts objectives, blueprint fields, tone, and guardrails so you publish a real conversation instead of wrestling a form builder for days.

  • Classic surveysFast to launch at scale, but locked into rigid question trees.
  • InterviewsWeeks of scheduling, scripts, and moderator time before the first session.
  • KognifeedAI-assisted objectives in minutes — then publish a branded link or embed.

One platform, many workflows

Onboarding check-ins, open feedback, website pulse widgets, blueprint-driven interviews, post-interaction follow-ups, and recurring relationship pulses — same Insight agent, projects, CRM, and analysis hub.

First days & milestones

Check in during onboarding — not just day one

30, 60, and 90-day check-ins for new hires; week-one touchpoints for new customers. AI conversations follow your objectives and surface uncertainty and access blockers before churn.

  • New hire: 30·60·90-day milestone check-ins
  • New customer: week-1 activation and first-value experience
  • Remote onboarding and manager experience pulse

30·60·90

Milestone check-ins

CRM

Tracked personal links

What felt unclear in your first two weeks?
Access requests took forever — I wasn't sure who to ask.
Onboarding signals

Notes

Structured by theme

Blockers

Tagged in analysis

Compare

Cohorts over time

Post-sale satisfaction

Open analysis
EditorContextAppearance

Analysis language

English (EN)

Objectives

Main goal
Session shape
How the chat should sound
Who is taking part
What to find out in more detail
Structured form0 items in the list
Topics to avoid in the chat
Live previewBuild with AI

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Your feedback matters — under 5 minutes

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Shape the survey with the assistant

For example: We want to understand why people stop subscribing. The people we care about are small-business owners in Europe…
  • Voice conversations — AI read-aloud and microphone replies
  • Text-only, voice-only, or participant choice at start
  • Email digest when analysis is ready
  • KVKK/GDPR privacy consent before chat
  • Session resume on CRM invite links
  • 10 built-in study templates
  • REST API for CRM & backend integration

Depth that still fills your blueprint

Conversational surveys and AI moderated interviews where participants chat naturally — the agent follows your objectives, captures blueprint fields for dashboards, and surfaces context when it helps. Completed sessions become analyst-grade notes with branded links, CRM invitations, and website embed.

Define

Dynamic builder: objectives, guardrails, context tab, appearance, settings (privacy policy), and draft test preview

Collect

Voice conversation mode (AI read-aloud + mic replies), text-only, or participant choice; blueprint fields, post-interview notes, sentiment, and themes

Deploy

Embeddable chat with origin policies; CRM invitations and session resume; optional privacy-policy checkbox before the conversation starts

Analyze

Email digest to study owners when post-interview analysis finishes — summary, highlights, and a link to the dashboard

Operations tied to product context

Studies, audiences, and findings live in one admin — grouped by product initiative, segmented in CRM, and analyzed per study with the same filters your team already uses in the app.

Projects, CRM & analysis

Projects & product modules

Organize research around real product initiatives—not loose survey folders. Each project stores sector context, positioning, org facts, and a module backlog that Insight agents can reference in the builder and during live interviews.

  • Unlimited projects and product modules with status and criticality tracking
  • Link each Insight study to a project (and optional module) for grounded builder chat and runtime answers
  • AI-assisted project research drafts name, sector, and positioning from a URL or short brief

Projects, CRM & analysis

CRM & invitations

A lightweight CRM built for research programs: import people, segment them into groups, and send tracked Insight invitations — or sync contacts and invite flows from your existing CRM and tooling via REST API.

  • Up to 500 contacts per account with groups, roles, phone, and free-form notes
  • Personalized invite links and bulk CRM invite emails with per-recipient tracking
  • Filter analysis by CRM group to review only sessions from targeted invites

Projects, CRM & analysis

Per-study analysis hub

Every published Insight study opens its own analysis workspace. The same tabs and filters apply whether you run a single pulse or a quarterly tracker—no exporting to spreadsheets to understand completion or themes.

  • Overview KPIs: public opens, sessions started, completed, and completion rate
  • Dashboard, notes, sessions, forms aggregate, and compare in one navigation
  • Email digest to study owners when post-interview analysis finishes — summary, highlights, and a link to the dashboard

Projects, CRM & analysis

Company & project context

Company profile and project briefs feed the Insight agent at build time and runtime—so objectives, guardrails, and answers stay aligned with your positioning instead of generic small-talk.

  • Company description, audience, and offerings in admin settings
  • Context assets (links and images) the agent may show when relevant mid-chat
  • Consistent tone when switching between studies under the same brand

After collection

Turn interviews into evidence you can share

After interviews finish, KogniFeed turns conversations into structured evidence. Study owners get an email digest when analysis is ready — then explore metrics, themes, and quotes in the hub.

Notes

Analyst-grade structured notes generated by AI after each interview, with multi-facet filtering by intent, category, importance, and CRM groups.

Metrics

Overall conversion metrics (opens, completions, drop-offs) alongside binary, polarity, and category signals extracted from your blueprint objectives.

Sentiment

Automatic extraction of positive, neutral, and negative sentiment from participant conversation tone, with line-by-line sentiment tagging on transcripts.

Clusters

AI-powered semantic embedding clustering that automatically groups hundreds of open-ended answers into master canonical topics.

Quotes

Direct verbatim quotes selected from participant answers, ranked by importance (1-5) and linked to topic clusters, ready to copy and share in decks.

Insight types

Automatic categorization of qualitative feedback into friction, praise, suggestions, or awareness with rich distribution charts.

Frequently asked questions

About conversational surveys, AI moderated interviews, and trying KogniFeed free.

What are conversational surveys?

Conversational surveys are research studies where participants answer through chat-style dialogue instead of a fixed form. Each conversational survey adapts follow-ups based on what the person says, producing deeper answers than static open-text boxes.

What are AI moderated interviews?

AI moderated interviews are conversational surveys led by an Insight agent. The agent follows your objectives and blueprint, asks probing follow-ups, captures structured fields during chat, and generates analyst notes when each session ends.

What is conversational interviewing?

Conversational interviewing is moderating research as adaptive dialogue rather than a fixed script. KogniFeed's Insight agent clarifies vague answers, asks for examples, and skips irrelevant topics — improving open-ended quality at scale.

How can I try AI moderated interviews?

Sign up for KogniFeed free — 10 Insight sessions per month, no credit card required. Pick a template, edit the blueprint, and publish a conversational survey via link, CRM invite, or website embed.

What is KogniFeed?

KogniFeed is an AI Insight agent platform for conversational surveys and adaptive interviews. Teams configure objectives and blueprint fields, participants chat naturally, and analysis arrives when each session ends.

Who is KogniFeed for?

Product, research, and customer teams that need qualitative depth with structured output — customer feedback, onboarding check-ins, user research, and website pulse widgets.

Do I need developers to launch?

No for link-based studies. Website embeds need a short script paste. CRM-heavy flows can use the REST API from your backend.

Is there a free plan?

Yes. Free includes 10 monthly Insight sessions, live agents, CRM contacts, and the core builder and analysis experience.

Can participants do voice conversations?

Yes. In Share settings you choose text only, voice only, or both. Voice conversations use AI read-aloud — the agent speaks questions and follow-ups while text syncs on screen. Participants reply with the microphone or keyboard on supported browsers.

Try AI moderated interviews free

10 Insight sessions per month — conversational survey templates, blueprint builder, analysis hub, and classic surveys included.