Tarification

Generate DevRev analytical reports automatically with AI

Swiftask extracts and synthesizes your DevRev data to create accurate reports. Make informed decisions with actionable, ready-to-use insights.

Resultat:

Save hours every week on report preparation and accelerate your product decision-making cycle.

The complexity of manual DevRev data reporting

Extracting data from DevRev to create analytical reports is often a tedious task. Between data cleaning, consolidation, and formatting, your teams lose valuable time that could be spent on strategic analysis.

Les principaux impacts négatifs :

Fragmented and outdated data: Manual reports are often based on data points from a specific moment, making it difficult to track product performance in real-time.
Excessive preparation time: Your product managers spend more time manipulating spreadsheets than analyzing real trends in your development cycle.
Lack of analytical depth: Manually generated reports are often limited to basic metrics, missing complex correlations between tickets and customer satisfaction.

Swiftask automates the collection and analysis of your DevRev data. Our AI transforms raw flows into structured reports, providing a clear and instant view of your KPIs.

AVANT / APRÈS

Ce qui change avec Swiftask

Traditional approach

Manual export of DevRev tickets to Excel, tedious data cleaning, chart creation, and manual writing of conclusions. A repetitive, error-prone, and time-consuming process.

Steering with Swiftask

Swiftask continuously queries the DevRev API. Reports are generated, updated, and shared automatically. You gain access to AI insights that identify bottlenecks before they impact your deadlines.

Deploy your analysis engine in 4 steps

ÉTAPE 1 : Initialize DevRev connector

Configure secure access to your DevRev instance in Swiftask to enable reading of your ticket and product data.

ÉTAPE 2 : Define target KPIs

Select the key metrics to track: resolution velocity, tickets by priority, or customer sentiment linked to bugs.

ÉTAPE 3 : Set report frequencies

Define when and how Swiftask should generate your reports (daily, weekly, or on-demand via a trigger).

ÉTAPE 4 : Automated distribution

Configure the delivery of reports to your usual channels (Email, Slack, or Teams) for seamless sharing among teams.

Advanced analysis capabilities for your data

Swiftask analyzes your DevRev ticket metadata: cycle time, problem categories, customer interactions, and development priorities.

Connecteur cible : L'agent exécute les bonnes actions dans devrev selon le contexte de l'événement.
Actions automatisées : Automatic synthesis of weekly trends. Anomaly detection in response times. Correlation between customer feedback and software versions. Generation of dynamic dashboards based on your specific needs.
Gouvernance native : All reports are logged, allowing for precise tracking of your performance indicator trends over time.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-devrev@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Impact on your product performance

1. Real-time insights

Make decisions based on up-to-date data, without waiting for the end of the month to compile your figures.

2. Increased accuracy

Automation eliminates errors in entry and calculation linked to manual handling in your reporting files.

3. Strategic focus

Free your teams from data entry so they can focus on interpreting results and improving the product.

4. Decision-making transparency

Easily share generated reports with all stakeholders to align teams on priorities.

5. Total adaptability

Modify your report templates in a few clicks in Swiftask as your analytical needs evolve.

Data security and integrity

Swiftask applique des standards de sécurité enterprise pour vos automatisations devrev.

Restricted API access: Swiftask uses secure tokens to read only the necessary data from your DevRev instance.
Guaranteed confidentiality: Your analysis data is never used to train third-party models. Confidentiality is absolute.
Access traceability: Every report generation or consultation is logged, ensuring perfect compliance with your security rules.
Environment isolation: Each Swiftask workspace is isolated, ensuring no data leaks between your different projects.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

KPIs of your analytical transformation

Métrique	Avant	Après
Report production time	4-6 hours / week	0 minutes (automated)
Data freshness	Several days delay	Real-time
Analytical error rate	Subjective / Variable	Close to 0%
Time to deploy	Complex BI development	Fast no-code configuration

Passez à l'action avec devrev

Save hours every week on report preparation and accelerate your product decision-making cycle.

Unifiez vos équipes support et produit via DevRev et Swiftask

Cas d'usage suivant.