Question: I'm looking for a tool that helps game developers track and analyze player feedback from social media, forums, and reviews in one place.

Player XP screenshot thumbnail

Player XP

If you're looking for a system to aggregate and analyze player feedback from social media, forums and reviews in one place, Player XP could be the answer to your prayers. The system uses machine learning technology to pull data from different sources and present it in an interactive dashboard that offers a single view into online communities. It offers features like a real-time dashboard, customizable tracking and game-specific language processing. Player XP also can help marketing, production and QA teams by monitoring player sentiment and analyzing feedback to identify and prioritize common bugs and issues.

GameAnalytics screenshot thumbnail

GameAnalytics

Another great option is GameAnalytics, an analytics system designed to be all in one for game developers. It offers detailed insights into player behavior across many different dimensions, supports several game engines like Unity and Unreal, and can integrate with services like AdMob and Fyber. GameAnalytics can help you identify game design problems, run growth experiments and optimize monetization, so game developers can make data-informed decisions.

FanCraft screenshot thumbnail

FanCraft

For mobile game developers, FanCraft offers an AI community manager that can quickly process and respond to player reviews. It offers real-time review analysis, AI-powered sentiment analysis, automated responses and prioritized issue resolution. By turning negative reviews into positive ones, FanCraft can help improve player engagement and retention through personalized rewards.

Olvy screenshot thumbnail

Olvy

Last, Olvy offers a user feedback management system that aggregates, analyzes and prioritizes customer feedback from channels like Slack, Discord and Twitter. It offers AI-generated summaries, thematic analysis and sentiment analysis so product teams can make data-informed decisions. Olvy's centralized feedback management system and AI reports simplify the feedback process, ensuring user needs are addressed efficiently.

Additional AI Projects

Sauce screenshot thumbnail

Sauce

Automates actionable customer insights in under 5 minutes, surfacing key trends and issues through AI clustering, and prioritizing feedback by customer attributes.

Canny screenshot thumbnail

Canny

Centralize customer feedback, analyze and prioritize requests, and create public or private roadmaps to build a better product roadmap, all in one place.

Datashake screenshot thumbnail

Datashake

Aggregates diverse data types, including online reviews and social media, into a visual interface and APIs, empowering businesses to make data-driven decisions.

Zefi screenshot thumbnail

Zefi

Consolidates user feedback from multiple sources, automatically categorizing and analyzing it to identify key patterns, trends, and emerging needs.

ClientZen screenshot thumbnail

ClientZen

Automates customer feedback analysis across the customer journey, providing actionable insights to improve satisfaction, loyalty, and business success.

Kraftful screenshot thumbnail

Kraftful

Analyzes customer feedback from various sources, surfacing actionable insights, sentiment trends, and pain points to inform product development decisions.

Getgud screenshot thumbnail

Getgud

Gain real-time observability into your game and players, detecting cheating and griefing, and automating actions to ensure a fun and toxic-free experience.

Eververse screenshot thumbnail

Eververse

Accelerate product development with AI-driven feedback analysis, writing assistance, and predictive prioritization, streamlining the product development process.

Gleap screenshot thumbnail

Gleap

Collects and analyzes customer feedback through visual bug reporting, live chat, AI-powered bot support, and surveys to inform product development and improve user experience.

Microsoft Azure PlayFab screenshot thumbnail

Microsoft Azure PlayFab

Unlock seamless gaming experiences across multiple platforms with scalable, real-time services.

Medallia screenshot thumbnail

Medallia

Uses machine learning to extract key insights from every interaction, spotting trends and prioritizing actions to drive customer loyalty and employee engagement.

Monterey AI screenshot thumbnail

Monterey AI

Automates collection, analysis, and action on customer feedback from various data sources, enabling data-driven decisions and optimized product development.

Screeb screenshot thumbnail

Screeb

Unifies product analytics, customer feedback, and in-app messages to deliver better user experiences, driving adoption and conversion rates through data-driven insights.

Azure PlayFab screenshot thumbnail

Azure PlayFab

Build, deliver, and run live games with a full suite of LiveOps back-end tools and services.

Sprig screenshot thumbnail

Sprig

Uncover user feedback trends, make data-driven product decisions, and improve user experience with AI-powered surveys, replays, and feedback analysis.

Productboard screenshot thumbnail

Productboard

Automate product development with AI-driven tools, aligning teams with customer needs and streamlining roadmapping, prioritization, and product planning.

Appinion screenshot thumbnail

Appinion

Automates qualitative data analysis to turn user reviews into actionable insights, enabling informed decisions and swift responses to sentiment changes.

Modulate screenshot thumbnail

Modulate

Uses machine learning to detect toxic behavior in voice chat, escalating harmful conversations and enabling game studios to build safer, healthier communities.

Quago screenshot thumbnail

Quago

Analyzes in-game device sensor data to generate powerful insights and predictions, eliminating blind spots and detecting cheating, churn, and fraud without compromising user privacy.

Featurebase screenshot thumbnail

Featurebase

Gather and prioritize product feedback with AI-driven duplicate detection, public roadmaps, and integrations to build customer-loved products.