TheySaid 3.0

Product Introduction

1. TheySaid 3.0 is an AI-powered feedback management platform designed to automate and scale qualitative and quantitative user insights through surveys, interviews, forms, and usability testing. It combines conversational AI with advanced analytics to transform raw feedback into actionable insights across industries like technology, retail, and education. The platform supports end-to-end feedback workflows, from data collection via AI-driven interactions to real-time analysis and integration with business tools.
2. The core value of TheySaid 3.0 lies in its ability to replace static surveys with dynamic, AI-driven conversations that capture deeper insights while reducing manual analysis. It enables teams to conduct hundreds of personalized customer interactions daily, identify trends through automated theme extraction, and prioritize actionable recommendations. By unifying multiple feedback tools into a single platform, it eliminates data silos and accelerates decision-making for product, marketing, and operational teams.

Main Features

1. Full 2-Way Voice Support: Enables real-time voice interactions between users and AI, allowing participants to verbally respond to surveys or interviews while the AI adapts follow-up questions based on tone, sentiment, and content. This feature supports 15+ languages and integrates with video recordings for usability testing, capturing non-verbal cues like hesitation or enthusiasm.
2. AI Insights 2.0 with Automated Theme Extraction: Automatically categorizes open-ended responses into themes (e.g., usability issues, feature requests) using NLP models trained on industry-specific datasets. The system prioritizes high-impact insights by cross-referencing sentiment scores, response frequency, and user demographics, reducing analysis time by 90% compared to manual coding.
3. Interactive AI Forms with Conditional Logic: Replaces traditional forms with adaptive interfaces where AI engages users in conversational flows, probing deeper based on initial responses. Conditional logic rules dynamically adjust questions, skip irrelevant sections, and trigger multimedia prompts (e.g., screen-sharing for UX feedback), increasing completion rates by 40%.

Problems Solved

1. Pain Point Addressed: Traditional surveys struggle to capture qualitative insights at scale due to low engagement with open-ended questions and the inability to analyze unstructured data efficiently. TheySaid 3.0 solves this by using AI to conduct conversational feedback sessions that mimic human interviews, extracting nuanced insights from text, voice, and video inputs.
2. Target User Groups: Product managers, UX researchers, marketing teams, and customer success leaders in mid-to-enterprise companies requiring scalable feedback loops. Specific roles include founders validating product-market fit, sales teams conducting win-loss analysis, and HR teams running employee engagement surveys.
3. Use Case Scenarios: Running automated win-loss interviews with 1,000+ customers monthly, conducting usability tests with video recordings for SaaS platforms, and deploying AI-driven NPS surveys that identify churn risks through sentiment analysis and follow-up questions.

Unique Advantages

1. Differentiation from Competitors: Unlike basic survey tools (e.g., SurveyMonkey) or standalone AI chatbots, TheySaid 3.0 combines multimodal feedback collection (text, voice, video) with enterprise-grade analytics, all in a unified workflow. Competitors lack its depth in real-time AI adaptation during conversations or industry-specific insight models.
2. Innovative Features: Proprietary "AI Action Items" automatically generate tasks for teams (e.g., "Contact customer X about billing complaint") by analyzing response urgency and context. The platform also offers pre-built integrations with CRM systems like Salesforce and collaboration tools like Slack for instant insight sharing.
3. Competitive Advantages: A 70% faster setup process via AI-generated survey templates (users describe objectives in plain text), GDPR-compliant data handling with automated anonymization, and a pay-as-you-scale pricing model that includes free tiers for small teams and custom enterprise plans.

Frequently Asked Questions (FAQ)

1. How does TheySaid 3.0 handle qualitative data analysis at scale? The platform uses transformer-based NLP models to classify responses into themes, detect sentiment shifts, and flag critical issues. For example, in a 10,000-response dataset, it can identify recurring pain points like "slow checkout process" and correlate them with user segments (e.g., mobile vs. desktop users).
2. Can the platform integrate with existing CRM or analytics tools? Yes, TheySaid 3.0 offers native integrations with Salesforce, HubSpot, Zendesk, and Tableau, syncing insights directly to customer profiles or dashboards. API access is available for custom workflows, enabling real-time triggers (e.g., alerting account managers when a high-value client reports dissatisfaction).
3. What security measures protect participant data? All data is encrypted in transit (TLS 1.3) and at rest (AES-256), with optional on-premise deployment for regulated industries. The AI anonymizes personal identifiers automatically, and role-based access controls ensure compliance with GDPR, CCPA, and HIPAA standards.