Platform | Blendification

Platform Overview

Not Another SaaS Survey Platform

Blendification is a research-grade conversational insight platform built for teams that need rigor, control, and defensible methods. More than just a dashboard, it spans the lifecycle from conversational design and data collection to explainable analysis and knowledge curation.

Next Steps to Engage with Us

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Templates Module

Designing Conversational Experiences

Configure structured, adaptive conversations that guide an AI-moderated survey or interview. Instead of static questionnaires, you design topic-based flows with clear guardrails and intentional prompting styles.

Scripted → conversational spectrum

Templates support anything from traditional, fixed surveys to fully conversational interviewing—with hybrid options that keep the experience consistent while still allowing depth where it matters.

Guardrails + intent

Templates support anything from traditional, fixed surveys to fully conversational interviewing—with hybrid options that keep the experience consistent while still allowing depth where it matters.

Data Module

Conversational data capture, evaluation, and persistence

Collect responses through a chat-native experience (text and optional voice), while the system evaluates each turn in real time to decide the next best move.

Chat-native user experience

Familiar conversational interface that reduces form fatigue.
Sessions can be paused and resumed without losing progress.
Distribution via unique links or public links, depending on recruitment.

Real-time response evaluation

Goal satisfaction and missing information detection guide follow-up questions.
Engagement level and psychological state signals shape question style.
Configurable dialectic modes such as Direct, Socratic, and Reflective.

Telemetry and response quality signals

Response time, pauses, and effort indicators.
Optional metadata to distinguish low-effort vs reflective responses.

Traceable storage

Store full conversation logs alongside evaluation metrics and metadata, so researchers can audit what happened and why.

Analysis Module

Turn conversation into structured, explainable insights.

Transform collections of conversations into structured outputs researchers can defend—traceable from visuals and summaries back to verbatim evidence.

Profiles Module

Persist knowledge as profiles across people and groups.

Convert research findings into long-lived knowledge objects attached to individuals, teams, markets, or organizations—so insights remain usable over time.

Platform Overview

Not Another SaaS Survey Platform

Next Steps to Engage with Us

Templates Module

Designing Conversational Experiences

Configure structured, adaptive conversations that guide an AI-moderated survey or interview. Instead of static questionnaires, you design topic-based flows with clear guardrails and intentional prompting styles.

Scripted → conversational spectrum

Templates support anything from traditional, fixed surveys to fully conversational interviewing—with hybrid options that keep the experience consistent while still allowing depth where it matters.

Guardrails + intent

Templates support anything from traditional, fixed surveys to fully conversational interviewing—with hybrid options that keep the experience consistent while still allowing depth where it matters.

Data Module

Conversational data capture, evaluation, and persistence

Collect responses through a chat-native experience (text and optional voice), while the system evaluates each turn in real time to decide the next best move.

Chat-native user experience

Familiar conversational interface that reduces form fatigue.

Sessions can be paused and resumed without losing progress.

Distribution via unique links or public links, depending on recruitment.

Real-time response evaluation

Goal satisfaction and missing information detection guide follow-up questions.

Engagement level and psychological state signals shape question style.

Configurable dialectic modes such as Direct, Socratic, and Reflective.

Telemetry and response quality signals

Response time, pauses, and effort indicators.

Optional metadata to distinguish low-effort vs reflective responses.

Traceable storage

Store full conversation logs alongside evaluation metrics and metadata, so researchers can audit what happened and why.

Analysis Module

Turn conversation into structured, explainable insights.

Transform collections of conversations into structured outputs researchers can defend—traceable from visuals and summaries back to verbatim evidence.

Profiles Module

Persist knowledge as profiles across people and groups.

Convert research findings into long-lived knowledge objects attached to individuals, teams, markets, or organizations—so insights remain usable over time.