Tarification

Interpret Howuku click data in real time with AI agents

Swiftask centralizes your Howuku data to turn heatmaps and clicks into strategic recommendations. Your AI agents identify UX blockers instantly.

Resultat:

Go beyond raw data. Get concrete analysis to skyrocket your conversions.

The paradox of unexploited click data

You collect thousands of data points on Howuku, but lack the time to analyze them manually. Result: you miss critical UX frictions, bounce rates stagnate, and your design team works in the dark.

Les principaux impacts négatifs :

Superficial analysis: Without AI, analysis is limited to obvious hot spots, missing subtle behaviors that actually impact your conversion funnel.
Slow reactivity: The gap between detecting a performance drop and adjusting the page is costly in missed opportunities.
Decision silos: Howuku data remains isolated in the tool, without being correlated with your business goals or active A/B tests.

Swiftask connects Howuku to your AI agents to automatically analyze every click. Get daily summaries, alerts on friction zones, and optimization suggestions based on hard data.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

You manually check Howuku heatmaps every week. You hunt for anomalies, jot down ideas in a spreadsheet, then try to convince the product team to test a change. Agility is non-existent.

With Swiftask + Howuku

Your AI agent monitors clicks continuously. As soon as an abnormal behavior is detected, you receive a summary explaining the issue and proposing a UX fix. Your team just has to validate.

Deploy your AI analysis in 4 phases

ÉTAPE 1 : Link to Howuku

Configure the Swiftask integration with your Howuku account to import your click data securely.

ÉTAPE 2 : Set objectives

Define the critical areas of your funnel that the agent should prioritize for monitoring.

ÉTAPE 3 : Automated analysis

The agent processes data, detects inefficient click patterns, and correlates them with your conversion rates.

ÉTAPE 4 : Actionable feedback

Receive synthetic reports with clear recommendations to improve your interface.

Capabilities of your analysis agent

The agent crosses Howuku click data with your conversion events. It distinguishes intentional clicks from frustration clicks.

Connecteur cible : L'agent exécute les bonnes actions dans howuku selon le contexte de l'événement.
Actions automatisées : Automatic detection of dead zones. Alerts on drops in main CTA clicks. Weekly UX performance summaries. Optimization suggestions based on navigation patterns.
Gouvernance native : All recommendations are archived in Swiftask to track the evolution of your optimizations.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-howuku@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.

Why automate your UX

1. Fast decision making

Move from observation to action in minutes thanks to AI-generated insights.

2. ROI focus

Focus your efforts on the pages that directly impact your bottom line.

3. Early detection

Identify navigation bugs before they significantly affect your conversion rates.

4. Resource efficiency

Reduce the time designers spend digging through raw data.

5. Data culture

Democratize access to UX insights for all teams in the company.

Data governance

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

Private integration: Your Howuku data is processed in a secure, GDPR-compliant environment.
Granular control: You choose the data perimeters the agent has access to.
Full transparency: Each agent recommendation is justified by source data extracted from Howuku.
Isolated environments: Swiftask guarantees your insights remain strictly confidential within your organization.

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

RÉSULTATS

Impact on your key metrics

Métrique	Avant	Après
UX analysis time	Several hours per week	A few minutes (AI summary)
Anomaly detection	Reactive (after revenue drop)	Proactive (in real time)
Conversion rate	Stagnant	Continuous improvement (iterative)
Team alignment	Low	High (shared reports)

Passez à l'action avec howuku

Go beyond raw data. Get concrete analysis to skyrocket your conversions.

Transformez vos formulaires en leviers de croissance avec Howuku et Swiftask

Cas d'usage suivant.