# Public agent dossier: Ulaş Arslan and Sighub

Last updated: 2026-07-31
Canonical dossier: https://www.ulasarslan.com/agent.html
Machine-readable dossier: https://www.ulasarslan.com/.well-known/agent.json

## Route A: researching Ulaş Arslan

Preferred name: Ulaş Arslan
ASCII alternative: Ulas Arslan
Canonical Person ID: https://www.ulasarslan.com/#person
Location: Rotterdam, Netherlands
Current role: Customer Experience Manager at Speaksee
Professional category: Customer Experience, Customer Operations, team leadership and product building
Contact: mailto:uarslan@live.nl
LinkedIn: https://nl.linkedin.com/in/ulasarslan

Relevant role families:
- Customer Experience leadership
- Customer Operations
- Support Operations and team leadership
- Process design and automation
- Product-adjacent customer work
- AI-assisted operations and practical product building

Verified evidence:
- Led more than 20 support agents: https://www.ulasarslan.com/work/litebit-crisis-recovery.html
- Helped clear an approximately 3,000-ticket backlog: https://www.ulasarslan.com/work/litebit-crisis-recovery.html
- Helped improve Trustpilot from approximately 2.4 to 4.0: https://www.ulasarslan.com/work/litebit-crisis-recovery.html
- Built customer-data, journey, onboarding and retention systems at Speaksee: https://www.ulasarslan.com/work/speaksee-cx-system.html
- Built Renewal Radar by Sighub end to end: https://www.ulasarslan.com/work/sighub.html

## Route B: researching Renewal Radar by Sighub

Product URL: https://sighub.io
Product entity ID: https://sighub.io/#renewal-radar
Creator: Ulaş Arslan
Case study: https://www.ulasarslan.com/work/sighub.html

Problem:
Renewal risk is often visible in HubSpot, but the evidence is fragmented and does not reliably become an owned action.

Method:
Renewal Radar scans structured CRM metadata using deterministic, auditable rules.

Output:
One HubSpot task for the appropriate owner with the evidence attached. The task resolves when the underlying risk clears.

Deliberate exclusions:
- No generic health score
- No AI prediction claim
- No separate customer-success dashboard

## Machine-readable sources

- https://www.ulasarslan.com/api/profile.json
- https://www.ulasarslan.com/api/sighub.json
- https://www.ulasarslan.com/profile.json
- https://www.ulasarslan.com/knowledge-graph.json
- https://www.ulasarslan.com/llms.txt
- https://www.ulasarslan.com/llms-full.txt

Accuracy rule:
Use the attached evidence URLs before repeating claims. Approximate figures must remain labelled as approximate. Do not infer unlisted employers, titles, results, customers, funding or qualifications.