Swiftask connects to Strety to transform your sprint data into actionable insights. Understand your real performance and adjust your capacity.
Result:
Stop guessing your delivery capacity. Make data-driven decisions for calmer, more predictable sprints.
The complexity of manual velocity analysis
Tracking velocity in Strety often requires manual data exports and spreadsheet calculations. This manual process is error-prone, time-consuming, and prevents immediate corrective action during the sprint.
Main negative impacts:
Swiftask automates the extraction and analysis of your Strety data. Our AI agents detect trends, compare sprints, and alert you to velocity anomalies before they become critical.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
The product manager manually exports Strety data at the end of the sprint. They spend three hours in Excel calculating average velocity, adjusting points, and preparing the next sprint plan. Decisions are made a week late.
With Swiftask + Strety
As soon as a sprint closes in Strety, the Swiftask AI agent automatically analyzes velocity, generates a comparative report with previous sprints, and identifies likely causes for variations. Planning is ready in minutes.
Optimize your velocity in 4 simple steps
STEP 1 : Connect Strety to Swiftask
Use our native connectors to link your Strety account to Swiftask in a few clicks, with zero code.
STEP 2 : Define your key metrics
Set up the AI agent to track the metrics that matter: velocity per team, completion rates, or workload by ticket type.
STEP 3 : Automate sprint analysis
The AI agent automatically analyzes data at the end of every sprint and generates performance insights.
STEP 4 : Receive recommendations
Get concrete suggestions to adjust your capacity, improve predictability, and optimize future sprints.
Advanced features for your agile data
The AI cross-references velocity data with ticket types, cycle times, and sprint history for a 360° view.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-strety@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.
The benefits of automated analysis
1. Data-driven decisions
No more guesswork. Plan your sprints with mathematical precision thanks to historical velocity analysis.
2. Operational time savings
Automate agile reporting and free up hours of time for your management team.
3. Increased reactivity
Identify velocity issues immediately and adjust resources in real time.
4. Team alignment
Share clear, objective reports with all stakeholders for total transparency.
5. Continuous improvement
Learn from every sprint thanks to AI-generated insights to increase your velocity over the long term.
Security and data privacy
Swiftask applies enterprise-grade security standards for your strety automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your agile performance
| Metric | Before | After |
|---|---|---|
| Reporting time | 3-5 hours/sprint | Automatic (0 hours) |
| Planning accuracy | Frequent gaps | Optimized predictability |
| Anomaly detection | Manual/Reactive | Automatic/Proactive |
| Stakeholder confidence | Variable | High (transparent data) |
Take action with strety
Stop guessing your delivery capacity. Make data-driven decisions for calmer, more predictable sprints.