2019 is going to be a huge year for Polly users. We’ve spent the past four years of this company almost exclusively focused on building a valuable product. Our objective has always been to listen to our users, and building a compelling product based off their feedback. That’s what we’ve done, and that’s what we’re going to continue doing, but at a faster pace.
Time-based polls and surveys are great and all, but what if there was a way that you could programmatically send polls/surveys and pull results without having to go in and manually do it every time?
Being able to create polls and surveys in Slack to quickly gather feedback is one thing –– but being able to collaborate and share on some of your most important information is vital to keeping your team humming along and working more efficiently. Over at Polly, we've been working hard to make it easier to share, collaborate, consume, and engage with your peers day-to-day.
Whether you're reviewing design changes, ranking your top location choices for your next team retreat, or finalizing departmental budget line items, ranking your choices and assigning numerical values to your poll options is an easy and effective way to determine preferences. Having the ability to rank options or allocate points in a poll was one of our most requested features, and we're so happy to announce that it's finally available for paid plans. If you're not already on a paid plan, start a free 30-day trial today to try out rank and point allocation polls – we'd love to hear what you think!
We’ve made some adjustments to Polly's pricing model
Polly has made a significant change to the pricing to more accurately reflect the value our beloved users get from the tool. We've moved to fixed pricing instead of pricing based on workspace size.
Visit our new pricing page to learn more.
Whether you're creating surveys for just your team or for your whole organization, there's a pretty good chance that you'd want to take a look at your results through different lens. While having all results display is important for a high-level overview, sometimes it's helpful to filter and compartmentalize your results. You may even find that you uncover insights that you wouldn't have been able to see before with the raw results.
Introducing result sharing permissions
For important company-wide results for a survey, there's a good chance that other people in your company will need access to it, too. Some examples would be your supervisor, investors, department head, or your cross-functional project lead. We strive to continuously foster the same culture of openness and transparency that Slack is ubiquitous with – which is what Polly aims to do by increasing the ability to share out important results to your stakeholders.
Anytime that you need to do a side-by-side comparison of how different groups of respondents answer your survey questions, cross tabulations are an extremely handy analysis tool that compares the relationship between two questions within a survey. Cross-tabulations essentially provide a different view of your survey results that help to understand the differences (and/or similarities) in responses from separate groups of people.
Segmenting your results can be tremendously useful in situations where you want to use population demographics to compare results across different attributes such as: gender, age, departments, office location, salary level, seniority at company, and more. This helps to aggregate your data in a way that's useful to discovering trends among common groups. For example, does the Seattle office location have a higher job satisfaction rate than the San Francisco office?