Pendo.io

Collect in-app NPS at key touchpoints and identify promoters/detractors and follow up.

Identify promoters/detractors and follow up. Prioritize roadmap based on actual usage data. Segment users by role, region, and product version and analyze their behavior. Push onboarding tips, release notes, and feature announcements. Get detailed usage of Daily active users and monthly active users.

• Time saving at its best. Saves a lot of time to overcome challenges of developing UI for guides and then wait for it to be published as per your sprint cycle / release cycle. It is immediate if we want it to be.
• Cutting cost: Indirectly by directly applying the changes on the product from day 1.
• Less error prone and reduces risk. Analytics is behind the code, although tech savvy people can still know what is being captured but at the same time the capabilities provided by Pendo.io to exclude a specific customer or exclude capturing customer data as it falls under GDPR compliance it at its best.

Google Analytics

Salesforce CMS, Azure DevOps Services

Enables us to be product led, where we can rely on actual data rather than opinion. We use analytics, session replay, feedback and polls via Listen, as well as heatmaps, custom data reports and custom dashboards, resource center and guides. We are investing heavily in in-app guides for onboarding new users and educting esisting users.

• Reducing development time with in-app guides and resource center, with product management being able to agilely create guides in real time, this could be as much as 1 full time developer in savings.
• Reducing business time scoping "rock fetches" than are proven to be invaluable based on analytics, each time 1 single piece of analtical data saves around ~20 hours across multiple resources.
• Increasing user satisfaction with in-app guides and resource center
• Increasing usage of key features through targetted messaging, those key features either drive costs ou of our business or add value to customers business.

Glassbox and Adobe Analytics

Glassbox, Figma, Atlassian Confluence, Atlassian Jira

I use Pendo.io from a Customer Success standpoint, partnering with the Product and Product Analytics teams at our organization across multiple products. In addition to building out user engagement opportunities and connecting customers to solutions and resources in-app, I also use it for advertising upcoming CS webinars that help them optimize their product adoption and get the most out of their investment.

Additionally, I've used Pendo.io to build a post pNPS workflow for both detractors and promoters, offering promoters the chance to complete product reviews on external sites; and offering detractors the chance to connect directly with leadership to share their feedback.

Pendo.io is also excellent for onboarding, identifying segmentation and developing user personas. I enjoy the ability to develop very targeted messaging to specific users, empowering them to solve as many of their product questions in-app and avoid interrupting their work.

• Support ticket reduction by positioning guides where they're most needed (common stuck points, complex feature sets, etc.)
• Measuring the impact of customer engagement webinars against their in-product behavior (i.e., our customers show that if they attend a webinar live, they're using relevant aspects of the product 2.5x more than non-attendees)
• Increase in customer engagement across additional touch points (user Community; Customer Success webinars; etc.) by being able to tie those channels together in-app with Pendo.io

Gainsight CS, Conversica

Pendo.io helps us with adoption problems, such gathering as usage metrics, adoption rates, boosting them with guides and other strategies. It also helps us collecting user satisfaction metrics, like NPS and pNPS. It also allowed us to have data on old, outdated features that needed replacement, allowing us to understand its usage, and helping to choose replacement tools or understanding the criteria to create new ones. We were able to do the decommission of a widely used feature in the application by tracking Pendo.io data, with the communications with our customers and successfully replacing the feature.

• We were able to reduce risk on decommissioning outdated features pretty well.

Azure DevOps Server

I use Pendo to fully understand how users engage with my product. As a product manager, this helps me quickly see where my users are focused, what content is most relevant to them and what content they are not using or are unaware of. Following these user journeys and identifying volume of traffic then supports decision making, but applying engagement numbers to recommendations.

• Pendo has reduced the Product Manager team reliance on external teams to provide usage information, meaning that we can self-serve and therefore saving time for other teams and getting us to the data quicker.

Jira Product Discovery, Miro, monday.com