Observe.AI Reviews

What do you like best about Observe.AI?I love that Observe.AI helps our team look at conversations to find chances to give coaching. Conversation analytics and automatic quality checking for coaching and training lets us see patterns in problems check how well calls follow the right steps and offer places to give coaching. It helps us watch agents and make sure customer service is good, in all the customer service teams.What do you dislike about Observe.AI?Automated evaluations sometimes miss the mark. Their accuracy can shift with call quality, accents and the feel of the conversation. Checking flagged interactions still requires effort especially when an automated evaluation does not match how an agent truly handled a customer. Greater flexibility in tweaking the criteria, for automated evaluations would help.What problems is Observe.AI solving and how is that benefiting you?Checking each customer interaction by hand is tough when call volumes spike. Observe.AI can spot conversations that need a look and point out common service problems. Observe.AI helps give training that hits the spots cuts down the work needed to find quality gaps and lets managers spot chances to boost agent performance and make customers happier, across all support work. Observe.

What do you like best about Observe.AI?I like very much how Observe.AI helps to us streamlined the call monitoring and quality analysis. The calling reports and automated insights make it easier to identify important points in customer side without spending too much time reviewing everything manually. Also, It help us lot about to keep track the performance of team and customer interactions.What do you dislike about Observe.AI?The interface could be more intuitive, especially for new users. Navigation and filtering options could be improved to make it easier to find specific calls and review details quickly.What problems is Observe.AI solving and how is that benefiting you?This tool helps us to reduce the time spent on manual call reviews and makes it easier to identify issues in customer interactions. Having call summaries and quality insights in one place helps teams work more efficiently, provide better feedback, and maintain consistent service quality.

What do you like best about Observe.AI?I like the most about Observe.AI is its ability to analyze the conversation and put the results into consideration. My job as a Performance Marketing Manager at Madison Avenue Worldwide involves using conversation analytics and automated quality monitoring of customer service interactions for detecting obstacles, analyzing the reasons for objections, and finding points of improvement of the customer journey. This data can be used to improve the message and meet the customer’s expectations, as well as align the message with other departments such as sales and customer service.What do you dislike about Observe.AI?Although it offers superb analytical tools, certain aspects of conversations may need manual editing to avoid errors, especially with difficult topics or accents. Overall, it has potential, but I would like to see the ability to customize reports and integrate more closely with marketing analytics tools to analyze leads and sales effectiveness.What problems is Observe.AI solving and how is that benefiting you?One of the challenges in performance marketing is that it can be hard to determine why potential customers are being lost or are at risk of being lost after being exposed to a campaign. Observe.AI is an excellent tool that allows users to pinpoint recurring objections, concerns, and themes in dialogues. For Madison Avenue Worldwide, Observe.AI would help optimize the marketing campaign by providing actionable suggestions while assisting in qualifying leads. The tool would also allow for reducing the amount of time spent on manual checks by analyzing the quality of conversations and identifying areas for improvement, thus boosting overall performance.

What do you like best about Observe.AI?What stands out most for me is the call transcription accuracy and how quickly it surfaces key insights. Instead of manually listening through long customer calls for QA and compliance, I can jump straight to specific keywords, customer sentiments, or dead air moments. The evaluation forms and agent coaching workflows are built right into the platform, which saves our team hours every week. The interface is clean, easy to navigate, and makes tracking team performance quite straightforward.What do you dislike about Observe.AI?While the tool is generally reliable, transcription accuracy can take a hit when dealing with heavy regional accents, background static, or when both speakers talk over each other. In those cases, you still have to manually verify the audio. Also, the initial setup for custom moment tracking and evaluation forms took a bit longer than expected to dial in properly.What problems is Observe.AI solving and how is that benefiting you?Before using Observe.AI, our QA team could only sample a tiny percentage of total interactions, which left big blind spots in compliance and overall call quality. Observe.AI helps automate call auditing across a much larger volume, flagging non-compliant language and recurring customer issues right away. It saves our team hours of manual listening each week and gives us clear, objective data to use during agent coaching sessions.

What do you like best about Observe.AI?Automatically analyzes and transcribes calls in real-time, reducing the actual time spent on tasks like meeting minutes.What do you dislike about Observe.AI?The quality of the results depends on the accuracy of the transcriptions and the quality of the audio, as well as its configuration.What problems is Observe.AI solving and how is that benefiting you?In a service desk, it improves communication with users, identifies frequent ticket causes, and finds areas of opportunity that require training.

What do you like best about Observe.AI?What stands out most is the automated QA and speech analytics capability. Instead of sampling just a tiny fraction of calls manually, the transcription accuracy and sentiment detection allow our team to evaluate 100% of customer interactions. It makes identifying compliance risks, coaching opportunities, and recurring customer pain points significantly faster and data-driven.What do you dislike about Observe.AI?Transcription accuracy still struggles when dealing with heavy regional accents, noisy background environments, or domain-specific technical jargon. Because downstream automated scoring depends heavily on the transcript, noisy audio can occasionally trigger false positives in QA scorecards. Additionally, initial rubric calibration and moment configuration take substantial upfront engineering and operations time to tune properly.What problems is Observe.AI solving and how is that benefiting you?It eliminates the blind spots of traditional 1–2% manual QA sampling and standardizes how we evaluate support and operations calls. We can immediately pinpoint compliance gaps, recurring customer friction points, and agent coaching opportunities without adding QA headcount, while automated PII/PCI redaction keeps our call logs compliant.

What do you like best about Observe.AI?I use this in my day-to-day work, and I really love the coaching I’m able to do with my agents around specific calls.What do you dislike about Observe.AI?So far, I haven’t had anything I’m unhappy with. It’s easy to maneuver and feels straightforward to use.What problems is Observe.AI solving and how is that benefiting you?It helps me track call trends and agent performance, and it also shows where we’re lacking overall as a team.

What do you like best about Observe.AI?What I appreciate most about Observe AI is its accurate summary of each call interaction, along with helpful pointers during the call. The performance is excellent, and it integrates smoothly with our phone system.What do you dislike about Observe.AI?What I dislike about Observe.AI is that sometimes, when a call drops, it doesn’t transcribe the call afterward.What problems is Observe.AI solving and how is that benefiting you?Observe.AI helps capture missed opportunities as well as the stellar work an agent is doing, so those moments don’t get overlooked.

What do you like best about Observe.AI?I use Observe.AI for quality analysis on emails, calls, and chats. It highlights the part I need to review, and I can listen to it anytime. Appealing quality scores is much easier now. I can appeal directly in Observe.AI instead of going back and forth over email with my lead and the quality team, and I can agree with the analysis through SSO. It also automatically highlights anything outside the policies. Setup was pretty easy, and it has saved me a lot of time on audits.What do you dislike about Observe.AI?I find the interface has too many tiny tabs and is too grey for my liking. I’d like it to be a little more colorful, with tabs that are more interactive. The filters could have more options so I can search for a case by case number, time, date, and scores instead of only by quality code. Training the team was a task because the interface isn’t very interactive.What problems is Observe.AI solving and how is that benefiting you?I used to get feedback on emails, calls, and chats in manual docs, and had to go to a quality analyst to listen to calls on Medallia and find the issue. Now Observe.AI highlights the relevant part so I can listen anytime, and appealing quality scores is much easier.

What do you like best about Observe.AI?I like the interaction visibility and being able to get to the immediate root cause. Observe.AI helps reduce compliance violations in our contact center, and I found it easy to navigate.What do you dislike about Observe.AI?I very rarely notice glitches in Observe.AI when an agent and customer talk over each other.What problems is Observe.AI solving and how is that benefiting you?I use Observe.AI to help reduce compliance violations in our contact center.