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Enterpret is a platform designed to help product teams centralize and analyze customer feedback at scale by unifying feedback across all data types. It uses adaptive AI models tailored to each organization's unique feedback architecture to provide precise and granular insights to customers. Enterpret also offers dedicated services such as customer-specific ML models, data auditors, unlimited user seats, a customer success manager, and weekly feedback taxonomy refreshes.
Furthermore, Enterpret's core values include being an owner, caring personally while challenging directly, maintaining a humble growth mindset, and operating with principles that focus on solving customer pain, ambition, fast-paced yet detailed orientation. The team at Enterpret consists of individuals with various roles such as software engineers, AI engineers, the CEO, COO, and other executive positions.
Enterpret was founded by Varun Sharma. Varun Sharma currently serves as the co-founder and CEO of Enterpret, a company focused on centralizing and analyzing customer feedback at scale. The company's core values include being an owner, caring personally while challenging directly, and maintaining a humble growth mindset. Enterpret aims to solve customer pain points and operate with ambition and attention to detail.
To use Enterpret effectively, follow these steps:
Data Collection: Begin by collecting customer feedback data from various sources like surveys, reviews, and social media platforms.
Unified Feedback: Enterpret allows you to unify all this feedback into a single source, providing you with a comprehensive view of the customer voice.
Custom Taxonomy: Utilize the tool's feature to create a custom feedback taxonomy that fits your specific needs. This helps structure unstructured feedback appropriately.
Insight Generation: Engage with the tool’s chat interface called Wisdom to quickly generate insights. You can ask questions and receive answers without complexity.
Analytics Suite: Take advantage of the user-friendly analytics suite to build insightful dashboards, receive automated summaries, and set up alerts for easy understanding, even for non-technical users.
Dedicated Support: Enterpret offers dedicated support throughout the process, including data auditors for model refreshes, a dedicated Customer Success Manager, and unlimited user seats for your team.
Pricing and Plans: Understand the flexible pricing based on factors like data volume and required integrations. Fill out a form for accurate pricing and to get in touch with the team.
Recent Launches: Stay updated with recent launches and features that Enterpret rolls out to enhance your customer feedback analysis experience.
By following these steps, you can effectively utilize Enterpret to centralize and analyze customer feedback, gain valuable insights, and drive customer-centric strategies with confidence.
I appreciate the centralized approach to feedback analysis. It helps in gathering insights from various sources in one place.
The user interface feels outdated and can be difficult to navigate. It lacks some modern design elements that are common in other tools.
Enterpret helps in identifying customer pain points, but the response time for generating insights is slower than expected, which can delay decision-making.
The adaptive AI models tailored to our feedback architecture are impressive. They provide relevant insights that are often spot on.
However, the pricing feels a bit steep for small teams, and I believe there should be more flexible plans available.
It helps streamline the feedback process, but sometimes the insights are too generic and lack the granularity we need for specific issues.
I love the dedicated customer success manager assigned to us. They provide personalized support and are very responsive to our needs.
Sometimes, the feedback taxonomy refreshes are not frequent enough, leading to outdated categorizations.
Enterpret helps us consolidate feedback from multiple channels, which allows our product team to focus on key areas for improvement quickly.
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