AI Insights

Overview

AI Insights analyses landlord and tenant ratings and written feedback to surface clear, actionable themes. By selecting a time frame and generating insights, users receive:

• A concise AI-written summary of overall sentiment and key patterns
• Tagged themes with sentiment (positive/neutral/negative)
• Practical suggestions for improvement, prioritised by impact

This feature is designed to help you quickly understand what is working, what is not, and where to act without manually reading every review.

Generating AI Insights

The feature is currently available on the Business Intelligence page:

Customise your Insights: Choose whether to analyse Landlords or Tenants, then narrow results further by selecting specific offices or Property Managers for more targeted insights.

Select a Time Frame: Choose the period you want to analyse (e.g., this month, last 3 months, custom range).

Generate Insights: Click AI Summary. The system analyses all ratings and feedback within the selected time frame.

Review the AI Summary Read the summary at the top for a high-level view of sentiment, strengths, and risks.

Understanding the Output

AI Summary

A short narrative explaining:

• Overall sentiment (e.g., strongly positive, mixed, or negative)
• Common praise (e.g., communication, responsiveness, peace of mind)
• Recurring issues or risks (e.g., maintenance delays, contractor transparency)

Use this as your executive snapshot.

Tags and Sentiment

Tags group feedback into common themes. Each tag includes a sentiment indicator.

Hovering over the tags will give an explanation to help understand which themes are trending positive or negative. This will also give examples written by the Landlord or Tenants in that time period.

Example:

• Communication – Positive
• Responsiveness – Positive
• Customer Service – Positive
• Contractor Management – Negative
• Experience – Positive

How to use tags:

• Positive tags show strengths to maintain or scale.
• Neutral tags indicate stable areas that are performing as expected but should be monitored for change.
• Negative tags highlight areas requiring immediate attention.

Suggestions for Improvement

This section translates negative or mixed feedback into specific, actionable recommendations.

Each suggestion includes:

• Category (e.g., Responsiveness, Customer Service)
• Priority level (e.g., Medium)
• Clear action you can implement or review

Example actions include:

• Setting response-time targets and tracking them
• Improving transparency in bond or maintenance processes
• Reviewing workloads or performance of property managers

Use this section as an action plan, not just insight.

Best Practices

• Review AI Insights regularly (monthly or quarterly).
• Compare different time frames to track improvement or decline.
• Focus first on recurring negative tags with higher priority suggestions.
• Share insights with relevant teams or property managers to align on improvements.

Important Notes

• Insights are based only on available ratings and written feedback within the selected time frame.
• The AI highlights patterns; it does not replace individual case review.
• Fewer reviews may result in less detailed insights.

When to Use AI Insights

• Performance reviews
• Quality assurance and service improvement
• Identifying training or process gaps
• Preparing internal or stakeholder reports

AI Insights is built to help you move from feedback to action fast.