01
Define & Design
Dynamic builder: objectives, guardrails, context tab, appearance, settings (privacy policy), and draft test preview
The clearest way to understand yourcustomers
KogniFeed is built around the Insight agent — adaptive AI interviews that capture blueprint fields, structured notes, and optional web embeds. Organize studies in projects, invite the right people from CRM, and get an email digest when post-interview analysis finishes.
Built for product, research, and customer teams
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
Run warm AI conversations at 30, 60, or 90 days for new hires or new customers. The agent follows your objectives, captures structured notes, and surfaces blockers before they become churn or attrition.
- Start from the onboarding template or describe goals in the AI builder
- CRM invitations greet known people and resume half-finished sessions
- Compare cohorts and milestones in the analysis hub
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 analysisEditorContextAppearance
AI note language
English (EN)
Survey goals
Primary goal
Session shape
Conversation tone
Who participates
Details to collect
Structured form0 items in list
Themes to explore
Answer to clarify by the end
Topics to avoid in chat
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How Was Your Purchase Experience?
Your feedback matters — under 5 minutes
Start surveyDepth that still fills your blueprint
Participants chat naturally while the agent follows your objectives, captures structured fields for dashboards, and surfaces context when it helps. Completed sessions become analyst-grade notes — with branded public links, CRM invitations, and website embed.
02
Adaptive AI Chat
Blueprint field capture during chat; post-interview notes, sentiment, and themes — voice or text on supported browsers
03
Deploy & Invite
Embeddable chat with origin policies; CRM invitations and session resume; optional privacy-policy checkbox before the conversation starts
04
AI Insights
Email digest to study owners when post-interview analysis finishes — summary, highlights, and a link to the dashboard
How it works
Configure, publish, then analyze
Insight agent studies move from brief to live participant chat to analysis-ready data without switching tools.
1 · Define objectives in the builder
Set survey-flow goals, tone, boundaries, and optional blueprint questions. Use the AI co-pilot to refine objectives, generate a draft blueprint, and attach context links or images the agent may show during chat.
2 · Brand & preview the participant chat
Customize welcome title, subtitle, logo, themes, photo backgrounds, overlay, and text contrast. In Settings, link your privacy policy for KVKK/GDPR consent before chat. Run draft test preview from the builder before you publish a public link or website embed.
3 · Collect signal and review analysis
Participants chat naturally while the agent captures blueprint fields. When sessions complete, post-interview analysis produces structured notes. Open per-survey analysis for sentiment, themes, session transcripts, comparisons, and canonical topic clusters.
Dynamic builder
Everything you need before go-live
The Insight workspace is split into focused tabs — objectives, context, appearance, and blueprint — with AI assistance throughout.
Objectives & AI chat
Describe what you need to learn; refine primary goals, guardrails, and anchors with an in-builder AI assistant before participants see anything.
Blueprint & question depth
Approve a question blueprint for analytics slots, tune how deep the agent should probe, and version changes between draft and publish.
Context assets
Add links and images with titles and AI guidance — the agent can surface them mid-conversation when relevant (demo pages, screenshots, help articles).
Participant appearance
Control public title, subtitle, start label, logo, gradient themes, stock or upload photo backgrounds, overlay darkness, and light vs dark text.
Draft test preview
Load the real participant UI with ?test=1 from the live preview column — verify copy, tone, and objectives before sharing a public link.
Projects & company context
Tie studies to product projects and company profile so interviews stay grounded in your product facts and rollout context.
At runtime
A modern chat that still fills your schema
Participants see a polished conversational UI. Behind the scenes the same agent follows your objectives and persists analyst-grade structure.
Adaptive follow-ups
The agent probes naturally based on answers — not a fixed script — while respecting turn limits and wrap-up rules you configure.
Blueprint field capture
Structured slots fill as the conversation progresses so dashboards stay comparable across sessions.
In-chat context cards
When appropriate, the agent shows linked resources or image previews inline instead of dumping raw URLs into the transcript.
Post-interview structured notes
When a session ends, analysis generates analyst-facing notes with sentiment, insight types, themes, and participant quotes.
CRM-aware sessions
Personalized invite links greet known recipients, support session resume, and feed group filters in analysis.
Voice & multilingual UI
Optional voice input where supported; participant-facing UI strings follow their locale while note language stays configurable per study.
KVKK / GDPR consent
Add your privacy policy link in builder Settings. Before the chat starts, participants see your policy and must check a consent box — the link opens in a new tab.
Publish & integrate
Meet participants where they are
Launch with a link or embed for quick wins — or integrate KogniFeed into your CRM, product, and automation stack. Same Insight agent and analysis pipeline whether participants arrive from your app, inbox, or backend jobs.
Public survey link
Drop a branded link into campaigns, email, or support — no integration required for ad-hoc research and tracked CRM cohorts.
Website embed
Embed in your app or marketing site so feedback stays inside your product experience, with origin allowlists you control.
CRM invitations
Invite segments you already manage in KogniFeed — tracked opens, completions, and analysis filters by group.
REST API
Connect your CRM, onboarding flows, or event bus: sync contacts, generate invite URLs, list studies, and poll session status from your own backend.
Integrate with your systems — API docs →
Per-survey KPIs: opens, completions, note volume, sentiment split
Session drill-down: full chat, field captures, and form-style aggregates
Compare date ranges or CRM groups side by side
Canonical topic clusters and notable quotes after post-interview embedding
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
- Attach default CRM groups so invites and analysis filters inherit the right audience
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
- CSV import for bulk onboarding; add or remove group members anytime
- Personalized invite links and bulk CRM invite emails with per-recipient tracking
- Filter analysis by CRM group to review only sessions from targeted invites
- REST API to plug into your CRM, product backend, or event bus — sync contacts, mint invite URLs, poll completion
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
- Drill into transcripts, blueprint field captures, and assistant notes side by side
- UTC date range and CRM group filters on every analysis panel
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
- Per-project org name, website, about text, and core value for interview grounding
- 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.
Latest from our Blog
Insights & Articles
Practical advice and guides on AI moderated interviews, conversational surveys, and customer feedback.
Ready to run smarter studies?
Create a project, configure an Insight study in the dynamic builder, and publish when the test preview looks right.