• Pricing
Book a demo

Synthesize your customer feedback in Fibery with AI

Swiftask connects your AI agents to Fibery. Analyze hundreds of customer feedback items, identify major trends, and prioritize your product roadmap instantly.

Result:

Turn feedback noise into clear signals for your product team.

The chaos of customer feedback in Fibery

Your teams collect feedback in Fibery: support tickets, emails, interview notes. Without structured analysis, these valuable insights remain untapped, making product prioritization subjective and slow.

Main negative impacts:

  • Roadmap disconnected from needs: Without synthesis, product decisions rely on impressions rather than real evidence.
  • Data overload: The product team spends hours manually sorting through hundreds of unstructured feedback items.
  • Lost customer insights: Recurrent issues go unnoticed due to the lack of a high-level view on feedback.

Swiftask automates the reading and synthesis of your Fibery data. Our AI agents automatically categorize, summarize, and extract customer needs.

BEFORE / AFTER

What changes with Swiftask

Manual feedback management

A product manager spends two days a month manually reading Fibery entries, copy-pasting summaries into a document, and guessing priorities.

AI synthesis with Swiftask

Swiftask continuously analyzes new Fibery entries. A weekly report of key trends is generated automatically, ready to be used for planning.

Automate your feedback analysis in 4 steps

STEP 1 : Set up Fibery access

Connect Swiftask to your Fibery workspace to allow the agent to access feedback databases.

STEP 2 : Define analysis rules

Teach the agent to identify themes, sentiments, and specific feature requests.

STEP 3 : Automate data flow

Set the trigger: as soon as new feedback arrives, the agent processes and enriches it.

STEP 4 : Visualize insights

Receive periodic summaries or check the Swiftask dashboard to guide your roadmap.

AI agent analysis capabilities

The agent examines keyword recurrence, overall sentiment (positive/negative), and relevance to current product goals.

  • Target connector: The agent performs the right actions in fibery based on event context.
  • Automated actions: Automatic classification by category. Feature request extraction. Pain point summarization. Priority score based on request volume.
  • Native governance: All analyses are linked to source entries in Fibery for easy verification.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-fibery@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Why automate with Swiftask

1. Data-driven prioritization

Make product decisions based on concrete evidence, not intuition.

2. Massive time savings

Delegate the reading and synthesis work to your AI agent.

3. Product team alignment

The whole team gains a shared understanding of user needs.

4. Increased reactivity

Identify emerging issues before they impact your churn rate.

5. Seamless integration

No tool switching: your data stays in Fibery.

Security and data privacy

Swiftask applies enterprise-grade security standards for your fibery automations.

  • Access encryption: Secure API connection with granular permission management.
  • Total privacy: Your feedback is not used to train public models.
  • GDPR compliance: Hosting and processing compliant with European standards.
  • Action traceability: Full history of analyses performed by the agent.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your product efficiency

MetricBeforeAfter
Processing timeDays/monthsReal-time
Roadmap accuracySubjectiveData-driven
Feedback coveragePartial100%
Operational costHigh (human)Low (AI)

Take action with fibery

Turn feedback noise into clear signals for your product team.

Automate your Fibery reports with AI

Next use case