Deepr™ – AI-Powered
Open-Ended Probing

How It Works

Step 1 – Frame it: Define objectives, audiences, tone and sensitivity rules.
Step 2 – Launch: Deepr conducts open-ended interviews asynchronously across web/mobile.
Step 3 – Probe: The AI moderator asks tailored follow-ups in real time.
Step 4 – Synthesize: Live dashboards surface themes, emotions, contradictions and verbatims.
Step 5 – Land it: Export highlight reels, quote books and toplines, or flow into your reporting.

Key Features

Adaptive Moderator

Changes depth, style and examples by persona and response.

Emotion & Intent Signals

Tracks sentiment, certainty and drivers behind each claim.

Quote-First Reporting

Pull ready-to-use verbatims with automatic consent checks.

Cultural Context Packs

Layer in trends, idioms and local nuance per market.

Researcher Controls

Prompt libraries, banned topics, escalation rules, manual nudge.

Compliance & Privacy

GDPR-aligned storage, PII redaction, audit logs.

Why Deepr™ vs “generic AI”

- Designed for research, not chat. Probing logic mirrors best-practice qual.
- Transparency. Every decision and probe is logged and auditable.
- Bias management. Diverse prompt sets, counter-factual checks, human QA.
- Global nuance. Market-specific language models and cultural dictionaries.

Use Cases

- Concept & creative development – pressure-test early directions.
- Claims & messaging refinement – find sticky words, avoid red flags.
- Journey diagnostics – pinpoint friction, emotion and unmet needs.
- Rapid debriefs after quant – explain the “why” behind a number.
- Always-on listening – stand-alone or inside a community (ThinkTank™).

Outputs & Deliverables

- Insight themes with strength, examples and tensions
- Verbatim packs tagged by audience, emotion, topic
- Executive one-pager with the “so what”
- Clipbook (visual/text) for stakeholder sharing
- Data export (CSV/JSON) for further analysis

Let’s Talk

Want to see Deepr™ in action or talk through a specific use case?