Syncly consultants

Q: What types of customer feedback can Syncly analyse?

Syncly processes feedback from support tickets (Zendesk, Intercom, Freshdesk), live chat transcripts, email conversations, NPS and CSAT survey responses, app store reviews, and social media comments. It consolidates all these sources into a single view, so you get a complete picture of customer sentiment rather than fragmented insights from separate tools.

Q: How does Syncly's AI categorisation work?

Syncly's AI reads each piece of feedback and assigns topic tags automatically. For example, a support ticket about slow loading times might be tagged as 'performance' and 'web app', with negative sentiment. Over time, the system learns your specific product vocabulary and improves its categorisation accuracy. You can also create custom categories relevant to your business.

Q: Can Syncly detect emerging customer issues before they escalate?

Yes. Syncly monitors sentiment trends over time and sends real-time alerts when negative feedback spikes on a particular topic. If a new product bug starts generating complaints, you will see the trend forming within hours rather than waiting for your support team to manually flag it days later.

Q: How does Syncly integrate with our existing support and CRM tools?

Syncly offers native integrations with popular support platforms like Zendesk, Intercom, and Freshdesk. It also connects to CRMs and survey tools. Our integration specialists can set up data flows between Syncly and your broader tech stack so insights feed into product management tools, Slack channels, or executive reporting dashboards.

Q: What is customer health scoring and how does Syncly calculate it?

Syncly assigns a health score to customer accounts based on their feedback patterns. An account that submits multiple negative tickets in a short period gets flagged as at-risk, while accounts with consistently positive interactions are marked as healthy. Customer success teams use these scores to prioritise outreach and retention efforts before unhappy customers churn.

We can help you automate your business with Syncly and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing Syncly.

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About Syncly

Syncly is an AI-powered customer feedback analysis platform that automatically categorises and surfaces insights from support tickets, chat logs, emails, surveys, and reviews. Instead of manually reading through thousands of customer messages to spot trends, Syncly uses AI to tag feedback by topic, detect sentiment shifts, and flag emerging issues before they become widespread problems.

The problem Syncly solves is that most businesses collect plenty of customer feedback but struggle to act on it systematically. Support tickets pile up, NPS survey responses sit in spreadsheets, and product teams rely on anecdotal reports rather than data. Syncly consolidates all that feedback into a single dashboard, applies AI categorisation, and shows you exactly which issues are growing, which are resolved, and which segments of your customer base are most affected.

Key features include:

Automatic categorisation of customer feedback across all channels
Sentiment analysis with trend detection over time
Integration with support tools (Zendesk, Intercom, Freshdesk), CRMs, and survey platforms
Real-time alerts when negative sentiment spikes on specific topics
Customer health scoring based on feedback patterns
Visual dashboards showing feedback trends by category, product, or customer segment

Syncly is particularly useful for product teams, customer success managers, and operations leaders who need to understand what customers are actually saying at scale. At Osher Digital, our automated data processing team connects Syncly to your existing support stack so feedback insights flow directly into product planning tools and executive dashboards without manual reporting.

Syncly FAQs

Frequently Asked Questions

Common questions about how Syncly consultants can help with integration and implementation

What types of customer feedback can Syncly analyse?

How does Syncly’s AI categorisation work?

Can Syncly detect emerging customer issues before they escalate?

How does Syncly integrate with our existing support and CRM tools?

What is customer health scoring and how does Syncly calculate it?

Is Syncly useful for a business that does not have a large volume of feedback?

Syncly provides the most value when you have enough feedback volume for patterns to emerge. If your business handles fewer than a hundred support interactions per month, you might get more value from manual review. For businesses processing hundreds or thousands of feedback items monthly, Syncly’s automated analysis saves significant time and catches trends that manual review would miss.

How it works

We work hand-in-hand with you to implement Syncly

As Syncly consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate Syncly with integrate and automate 800+ tools.

Step 1

Process Audit

We review your current customer feedback sources: support tickets, surveys, reviews, chat logs, and social media mentions. We document how feedback is currently collected, who reviews it, and how insights reach product and operations teams. We assess feedback volume to confirm Syncly will deliver meaningful value.

Step 2

Identify Automation Opportunities

From the audit, we identify where Syncly replaces manual work. Common candidates include weekly feedback summary reports that are currently assembled by hand, ad-hoc sentiment tracking in spreadsheets, and customer health assessments that rely on gut feel rather than data. We map each opportunity to a specific Syncly capability.

Step 3

Design Workflows

We design how Syncly connects to your feedback sources and where insights are delivered. This includes configuring which support platforms, survey tools, and review channels feed into Syncly, setting up alert thresholds for negative sentiment spikes, and planning dashboard views for product, support, and leadership teams.

Step 4

Implementation

We connect Syncly to your support tools (Zendesk, Intercom, Freshdesk), configure AI categorisation with your custom topic categories, set up sentiment alert thresholds, and build dashboards tailored to each team’s needs. We integrate output with Slack or email for automated alerts and connect to Jira or Asana for product issue tracking.

Step 5

Quality Assurance Review

We verify categorisation accuracy using a sample of your historical feedback, checking that Syncly assigns correct topics and sentiment scores. We test alert triggers, confirm dashboard data matches source systems, and validate that integrations deliver insights to the right teams and tools reliably.

Step 6

Support and Maintenance

After launch, we review categorisation accuracy monthly and refine custom categories as your product evolves. We adjust alert thresholds based on real usage, update dashboard views as team needs change, and provide quarterly reports on how feedback insights are being used to drive product and service improvements.

Transform your business with Syncly

Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation Syncly consultation.

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