Comprehensive guide to designing human-like conversational experiences. From foundational principles to advanced dialogue mechanics and error handling strategies.
Conversational UX = human-like dialogue design, not GUIs.
Built on Grice's Cooperative Principle (Quality, Quantity, Relevance, Manner).
Anti-patterns: walls of text, irrelevant/off-topic replies, overpromising, unclear error messages.
Conversational implicature: agents must interpret implied meaning ("That's it" = conversation over).
Goal-Oriented: Every turn moves toward user's objective.
Context-Aware: System must "remember" across turns, sessions, and channels.
Polite/Respectful: concise, non-intrusive, considerate of attention.
Error-Tolerant: anticipate typos/misspeaks, recover gracefully (like Google Search corrections).
Clear Paths: CTAs, "escape hatches," escalation options.
Minimize Cognitive Load: one question at a time, defaults, progress bars.
Transparency: upfront about AI limitations/capabilities.
Feedback Loop: error → graceful recovery → reinforced control = trust.
Persona is core architecture, not decoration.
Framework for persona design:
Impact of persona (studies):
Phase 1: Strategy → define why, target audience, top 3–5 use cases.
Phase 2: Script-First → script sample dialogues → test aloud → flowchart.
Phase 3: Test & Iterate → WoZ testing, user studies, analyze drop-offs, refine continuously.
Architectures:
Context layers: session, user history, multimodal, cross-channel.
Turn-Taking:
Frictionless Entry: minimize signup fields; SSO → ↑20–40% conversions; case study → removing one field added $12M revenue.
First Message: warm, clear CTA.
Expectation Setting: honest about scope (avoid blank "How can I help?" → provide guided options).
Guided Patterns: checklists, progressive disclosure, small wins, interactive tutorials.
Key NLU tasks: intent recognition, entity extraction, sentiment analysis.
Best Practices:
Prompt Design (CLEAR framework):
Concise • Logical • Explicit • Adaptive • Reflective.
Tools: quick replies for chat, hints for voice → reduce ambiguity.
Fallback hierarchy:
Escalation: seamless handoff to human, with full context preserved.
Learning Loop: log all failures → analyze patterns → retrain → redesign → iterate.
unosquare.com, userpilot.com, botpenguin.com, cmswire.com, developers.google.com, marvelapp.com, ai.gopubby.com, dev.acquia.com, learn.microsoft.com, support.zendesk.com, medium.com, mockplus.com, salesmartly.com, vux.world, uxmag.com, zendesk.com, gapsystudio.com, mediajunction.com, getfishtank.com, tidio.com, uxdesign.cc, researchgate.net, arxiv.org, pmc.ncbi.nlm.nih.gov, pnas.org, geeksforgeeks.org, conversationdesigninstitute.com, whatfix.com, scoredetect.com, clearvoice.com, masterofcode.com, exotel.com, djangostars.com, fastbots.ai, smythos.com, botpress.com, tencentcloud.com, mdpi.com, docs.lovable.dev, uxdworld.com, nexusflowinnovations.com, eleken.co, uxwritinghub.com
Based on this research, let Sajedar help you build conversational AI solutions tailored for the Nepal and South Asia market.