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With advanced sentiment analysis, Lucidya offers deep understanding of customer tone and emotion across languages.
Our AI cuts through the noise to highlight key trends, so you're not buried in data.
Use logic-based flows to ask the right questions based on each respondent's answers.
Launch surveys in any language and share via link, QR, or embedded forms.
Skip spreadsheets and see NPS, CSAT, and sentiment insights instantly with interactive dashboards.
Integrated with Lucidya’s Profiles (CDP) for richer insights across the entire customer journey.
Improve service and retention by capturing honest feedback after key interactions.
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Get visibility into team sentiment and engagement to reduce attrition.
Understand evolving preferences and product-market fit before you build or launch.
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Embed surveys into any landing page to capture in-the-moment feedback.
Understand attendee experience, content value, and operational success to improve future events.
Lucidya Survey combines customizable survey templates with AI-native sentiment analysis on open-text responses, giving enterprises qualitative insight from free-text feedback at scale without manual review of individual responses. Unlike generic survey tools that capture structured ratings and leave open-text analysis to manual effort, Lucidya automatically identifies tone, emotion, and recurring themes across open-ended responses in both English and Arabic. The other key difference is integration. Survey responses link directly to individual customer profiles in Profiles, adding structured feedback to each customer's 360-degree view alongside social media sentiment, support interaction history, and behavioral signals. Teams see not just what a customer said in a survey but how that feedback connects to their broader sentiment history over time. For enterprises operating in Arabic-speaking markets, Lucidya processes Arabic open-text responses natively across 17 dialects with 92% accuracy, a significant improvement over tools that treat Arabic as an afterthought or rely on translation before analysis.
Lucidya surveys can be embedded directly on websites, shared via QR codes, distributed by email, or delivered through WhatsApp. Post-interaction CSAT and NPS flows are also fully supported, allowing automatic survey delivery immediately after customer service interactions across any channel managed through OmniServe. Multi-channel distribution means feedback collection meets customers where they are rather than requiring them to find a survey link, which significantly improves response rates, particularly for post-interaction feedback where timing matters.
Yes. All survey responses automatically link to individual customer profiles in Lucidya Profiles, adding structured feedback data to each customer's 360-degree profile alongside social media sentiment, support interaction history, and behavioral signals. This means teams can see not just what a customer said in a survey but how that feedback connects to their broader sentiment history and engagement patterns over time. A customer who rates satisfaction highly in a survey but whose social sentiment has been declining for three months tells a different story than the survey score alone, and Profiles makes that fuller picture visible.
Yes. Lucidya supports advanced logic paths that show different questions based on previous answers, ensuring each respondent only sees questions relevant to their specific situation. This improves response accuracy, reduces survey abandonment, and produces more contextually relevant feedback than linear surveys that ask every respondent the same questions regardless of their experience.
Lucidya supports survey creation in both English and Arabic, allowing teams to build surveys in either language without needing separate tools. For enterprises serving multilingual customer bases, surveys can be created in the language that matches each audience segment. For Arabic-language open-text responses specifically, Lucidya analyzes sentiment natively across 17 Arabic dialects rather than translating to English first, preserving the dialect nuance and cultural context that translation-based analysis loses.
Lucidya uses AI-powered sentiment analysis trained on both English and Arabic to process open-text survey responses. The system identifies tone, emotion, recurring themes, and sentiment signals with 92% accuracy in both languages, giving research and CX teams qualitative insights from open-ended feedback at scale without manual review of individual responses. Theme clustering automatically groups similar feedback across large response volumes, surfacing the most common concerns, requests, and praise without requiring analysts to read through individual responses to find patterns.
Lucidya supports Net Promoter Score and Customer Satisfaction survey flows with follow-up logic that automatically triggers additional questions based on the score a respondent gives. NPS and CSAT scores are tracked continuously over time with trend analysis, allowing CX and customer service teams to monitor satisfaction performance by channel, product, region, or customer segment and identify the specific drivers behind score changes rather than just the scores themselves.
Yes. Lucidya provides a real-time survey monitoring dashboard showing response rates, completion rates, dropout points, and emerging sentiment trends as responses come in. Teams can identify where respondents are abandoning surveys, which questions are generating the most negative sentiment, and how overall satisfaction scores are trending during the survey period, enabling adjustments to distribution or follow-up strategies without waiting for the survey to close.
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