New Grid website
New Hertfordshire Grid website – user testing task 1
Thank you for volunteering to help with the online user testing for the new Grid website. Despite the many challenges those working in schools are currently facing, we had a very positive response.
The first online exercise is crucial to improving the Grid and making things easier to find on the new website.
The aim is for us is to identify the top priority tasks/resources that are most important to users of the Grid website. After analysing the results we will follow up with a second card sorting exercise to identify how users group content together.
Follow the link below to complete this task, which should take no more than 5 minutes to complete.
We are pleased to report that despite the Covid-19 pandemic and the shift in all our priorities, we are starting work on the development of the new Grid website as commissioned by HCC.
Feedback from schools will be important in shaping the website and ensuring it meets your needs and to this end, we want to set up a user panel to engage with during the course of the project. Ideally, we would like this to be made up from a range of roles in schools (e.g.heads, SBMs, teachers, school office staff), to reflect the wide user base of the Grid.
Initially, we are asking for about 30 volunteers in schools to take part in some online testing for the site structure and user journey tasks which should take no longer than 10-15 minutes each time over the next 4 weeks. Depending on feedback, this may be about 4-5 times.
We understand the current pressures on everybody’s time during to the pandemic but would like to make sure you have the opportunity to provide feedback. Making sure we are heading in the right direction from feedback is critical at the early stages of the project.
If you are willing to participate in the online testing please confirm by email your name, email address and role in school, to email@example.com and we will be in touch soon.
Thank you for your support.
Digital Content Manager
Herts for Learning