Recommendations

The Recommendations section gives your team clear, actionable insights extracted from your customer conversations. These insights highlight product issues, documentation gaps, recurring customer needs, and workflow improvements that can be addressed across product, support, and operations.

Recommendations are powered by Isara’s AI Boosts engine, which analyzes every conversation to detect patterns, identify recurring problems, and surface the improvements that matter most.

Types of Recommendations

Isara identifies several categories of recommendations so teams can quickly understand what needs to be improved and who should own the work.

Documentation and Knowledge Base Improvements

These recommendations highlight unclear, missing, or outdated documentation. They appear when customers repeatedly ask questions that should be answered in your help center.

Use these to:

• Update or clarify help articles
• Add missing guides or troubleshooting steps
• Improve onboarding and self-service flows

Product Improvement Opportunities

These surface recurring friction points, feature gaps, or user experience issues mentioned across many conversations.

Use these to:

• Inform roadmap prioritisation
• Plan UX improvements and bug fixes
• Identify blockers affecting adoption or satisfaction

Training and Support Coaching

These recommendations point out areas where support agents may need additional training or alignment.

They appear when Isara detects:

• Inconsistent explanations given to customers
• Repeated misunderstandings
• Missed growth or retention opportunities
• Escalations caused by unclear communication

Use these to:

• Coach agents with real conversation examples
• Update internal playbooks
• Improve support consistency

How Recommendations Work

Isara continuously reviews all conversations and identifies issues or opportunities that appear frequently or negatively impact customer satisfaction. Each recommendation includes:

• A clear description of the issue or opportunity
• A summary of the underlying conversation patterns
• Supporting examples from real customer interactions
• Suggested actions for support, product, or documentation teams

This ensures customer conversations turn into a structured, prioritised improvement pipeline.

Managing Recommendation Status

Every recommendation has a status to help teams track progress and maintain visibility:

• To Do: Newly detected opportunities
• In Progress: Currently being addressed
• Completed: Fully resolved
• Not Relevant: Does not apply to your workflow

Statuses help teams stay aligned and ensure no improvement is lost or forgotten.

Creating Jira Tickets from Recommendations

Recommendations can be converted directly into Jira tickets from within Isara.

When creating a Jira ticket, Isara automatically includes:

• The recommendation summary
• Supporting conversation examples
• Context explaining why the issue matters

This ensures product and engineering teams receive detailed, contextualised tickets without any manual copy-paste work.

How to Use Recommendations Effectively

• Review new recommendations weekly
• Assign statuses so teams stay coordinated
• Convert high-priority recommendations into Jira tickets
• Share completed recommendations with the wider team
• Track repeated themes to influence roadmap and documentation strategy

Using Recommendations consistently helps your organisation turn raw customer conversations into continuous, measurable improvement.

If you want a shorter, more customer-facing version or one aligned to Isara’s tone of voice guidelines, I can generate that too.