Infobip has deepened its existing partnership with the UK’s Higher Education Statistics Agency to significantly enhance response rates and data quality for the Graduate Outcomes survey. The expanded alliance will see Infobip deploying its advanced omnichannel communication platform—known for seamless integration across email, SMS, WhatsApp, and voice channels—in a large-scale outreach initiative targeting recent university graduates.

Under the renewed agreement, HESA will leverage Infobip’s intelligent automation tools and conversational AI capabilities to send personalized reminders, schedule follow-up prompts, and facilitate two-way interactions in multiple formats. This strategic approach aims to address longstanding challenges in survey engagement and accuracy by reaching graduates via their preferred communication channels, reducing dropout rates, and ensuring greater participation across diverse demographics.

Pilot programs have already yielded measurable improvements: early tests show a marked increase in engagement metrics, with graduates expressing higher satisfaction due to the intuitive and interactive outreach experience. These results have prompted HESA to extend the program across multiple cohorts and institutions, embedding personalization into the survey workflow through Infobip’s dynamic messaging platform.

The enhanced survey engagement is expected to result in richer dataset coverage, enabling HESA to deliver more reliable labor market insights and inform national education policy with increased confidence. For Infobip, the partnership reinforces its commitment to transforming how public-sector organizations execute critical data collection processes. The collaboration demonstrates the value of combining technology-driven outreach with human-centric design—bringing precision, responsiveness, and inclusivity to large-scale survey administration.

Moving forward, both organizations plan to explore further innovation by integrating analytics-driven insights and AI-based feedback mechanisms, with the potential to expand the model to other government surveys and large-scale research studies.