Product Experience Best Practices
Share all ideas and best practices related to the Product Experience function
- 63 Posts
- 94 Replies
Digital Led Learnings: 3 ways to avoid falling down an analytics rabbit hole
Hi there! I’ve been an active member of this community for a while -- first as a PX customer, then as a PX Client Outcomes Manager, and now as a Gainsight Digital Led CS Ops Specialist (translation: I’m using our PX and CS products to drive our Digital Led program at Gainsight).Now that I’m helping us drink our own champagne, I want to share my learnings with you and hopefully learn from you as well. Feel free to comment below with any “So how does Gainsight do x, y, and z?” topics you want to hear more about!Now, onto the topic at hand. Have you ever fallen down the analytics rabbit hole? I know I have. Actual footage of me falling down a rabbit holeI look at a super swanky PX feature adoption report, then I wonder -- What about new users? How does the customer segment affect this report?What about a new admin at a longtime enterprise customer who is using our latest flagship feature? What about…?You get the idea. Of course, it’s not bad to ask these questions. However, to avoid falli
⭐What Successful PX Customers Do!
Hi PX Community! Many PX customers ask what other successful customers are doing & what their PX instance looks like. Good news! We did a review of some of our most successful customers, which they did the following that I’m sharing below. Take a look at your own PX instance and check if you’re doing any of these. We assure that you’ll be even more successful! Track product usage & user sentiment around your golden featuresModel the product with the right hierarchy and granularity on the Product Mapper Tree Collect user sentiment of the golden/core features via CES or Rating in-app surveySync ARR Account data to PX If you have Salesforce and ARR is a field on the Account Object in Salesforce, you can also sync in ARR with the Salesforce-PX bi-directional integration Analyze your in-app engagements / guides & assess how many users you reached If you haven’t already, launch Knowledge Center Bot > Add in articles, engagements, & if possible, sync with any of our out-
PX Engagement Configuration course now live on Gainsight University!
Gainsight Education Services is pleased to announce the availability of the PX Engagement Configuration course on Gainsight University!In this course, you'll learn how to build and deploy in-app engagements to inform your users, promote your product, and drive greater adoption. Engagements can include Guides, Sliders, Surveys, and more. This course covers the following topics:Overview of Engagements Types of Engagements and Use Cases Engagement steps Triggering Engagements Working with Templates Creating a Branded Feature Walkthrough Additional Information
Developing Processes for Using In App Engagements
If you’re just getting started using PX for in-app engagements, we recommend establishing a few processes to help ensure your org communicates the right info at the right time, and avoids rookie mistakes. At a high level, we suggest that you: Create a Hierarchy of Importance for different communication types Use the TRUSt Framework to ensure clear purpose and intention Create a lightweight in-app engagement approval process / committee For the complete scoop on how to setup these processes, check out our latest blog post!
Join us for free Product-Led Growth Sessions at the PLG Hub Bootcamp this week
Gainsight is joining Product-Led Hub Growth Academy this week. If you’re a Product Leader, Product Manger, Customer Marketing, Customer Adoption, a Customer Success Manager or a PX Customers, check out these sessions from our product experts: (Mention "Gainsight" as you sign up when asked how did you find us) Tuesday (12:00 pm PST): Creating the ultimate PLG strategy with @mickey [free]https://lnkd.in/gihcC5s Thursday (12:00 pm PST): Product-led growth for B2B with Yariv Zur from Anodot [free]https://lnkd.in/gv2hGNz Thursday (1:00 pm PST): Tech Touch Onboarding with Gainsight PX Harshita Banka [free]https://lnkd.in/g2Z6HFh Friday (12:00 pm PST): How to Drive Sustainable Adoption with Gainsight PX with Sarah Anderson from Email on Acid [free]https://lnkd.in/g-jMuRn Product analytics & instrumentation with @mickey [Paid]https://lnkd.in/eEHcWKp
How to become more skilled in Query/filters/criteria
Hey Community, I wanted to get the best practices and understand how everyone has built their skills in query buliding, logic, criteria filters, etc. I’ve noticed I’ve run into a few blockers when trying to figure out logic and usually have to pull in different departments to help with complex queries. What has everyone found to be the most helpful tool, online practice, or other resource (like SQL practice?) to become better at building queries? Thanks!
The Beginner’s Guide to Product-Led Growth Metrics
[img]https://d1qy7qyune0vt1.cloudfront.net/gainsight-en/attachment/BeginnersGuidetoProductLedGrow-785a4ec4-be1d-419a-bc99-7eac5e815fd1-326587355.png[/img] Do you know which of your product features are associated with the majority of your company revenue? How should customer-facing teams predict retention and revenue rates based on users’ behavior? How do you measure the effectiveness of onboarding? Are there better ways to be doing these things? These are just some of the questions SaaS organizations find themselves asking. More now than ever, we need to capitalization on product data to effectively monitor customer health, adoption levels, and user behavior. If you're just starting out on your product-led growth journey, check out this beginner's guide to kickstart your efforts: [url=https://www.gainsight.com/blog/the-beginners-guide-to-product-led-growth-metrics/]https://www.gainsight.com/blog/the-beginners-guide-to-product-led-growth-metrics/[/url]
[Tip of the Week] Measuring How Engagements Impact Feature Adoption
When aiming to drive module and feature adoption, you'll likely use some combination of emails and in-app messaging to your users. But how do you know if your engagements are effective in driving adoption? While there's no way to associate 100% of something to adoption, you can always find correlations. Take this use case for example to understand how you can correlate engagements with featuer adoption. [b]Goal: Our company wants to drive user and account adoption to Feature XYZ. Let's launch a dialog engagement to drive users to the feature.[/b] [list] [*]Engagement was launched on Aug 1st, and you want to measure the effects this had on user/account adoption [*]Run the "Feature Adoption" report for Feature XYZ two weeks prior. It appears that user adoption was 10% in the two weeks prior to Aug 1. [*]Now, run the "Feature Adoption" report for Feature XYZ for two weeks after Aug 1. It appears that user adoption is now 20%. [/list]This is one m
Measuring Feature Pull-through with Adoption Analytics
Something we've been curious about is how many users complete a whole workflow once they begin it. I found a way to help answer this question via Feature Adoption Analytics. The line in blue represents the first step, which is to view the page for creating an activity (one of our primary features). The line in green represents the final step, which is to actually create the activity. There are several required steps in between that I chose to not include here. If I wanted a more granular view, i.e., all the pages viewed and buttons clicked in between the first and last step, I would have chosen to answer this question in Path Analyzer. In this instance, we just wanted the bird's eye view of feature pull-through over time. [img]https://d1qy7qyune0vt1.cloudfront.net/gainsight-en/attachment/20190723_102202-ea3083d4-3a7f-4fc8-a868-42fa44033c5e-237450739.png[/img] If I wanted to remove the time component from the X axis, I could use [b]Audience > Funnel[/b] view. This vi
Tip of the Week: 6 Strategies to Improve User Onboarding
[h2]Creating products takes a lot of time. Make sure your efforts don't go to waste by following these six onboarding tactics.[/h2]If you’re in product management—or are involved with product development in any capacity—you know that feature adoption can sometimes be the most challenging and disheartening part of your job. You put all that work into a feature, but it’s just not resonating. The work doesn’t end once the product or feature is released. An equal amount of effort needs to be put into driving adoption to make the investment worth it for both your business and your customers. Check out the [url=https://www.gainsight.com/blog/6-strategies-to-improve-user-onboarding/]6 Strategies here[/url]
Identifying Voice of the Customer Opportunities
For the last few weeks, our Customer Success team has been sharing examples of how our customers are using our product with the rest of our company. We want to centralize the end user in our decision making and bring their real-life, in-the-wild use cases to the forefront. One feature that we have found to be very sticky is when users add video comments as a part of giving someone time-stamped feedback on their work. Our CS team was having a hard time identifying who was using this feature in a way that we could show the rest of the company. I just hosted a quick training with them on how to use GPX to identify Voice of the Customer opportunities for a particular feature. Under [b]Analytics > Features > Adoption[/b], I added a Feature filter for [b]Click Add Video Comment[/b] [b]greater than 0 times[/b]. I also set the time parameters to [b]monthly within the last 6 months[/b]. Once the view below was generated, I had them click on the [b]user count link[/b] to bring up the
Tip of the Week: How to Increase User Retention
[quote]You can use Retention Analytics and its different metrics to drive retention and growth. The ideal retention graph looks like a smile (curves back up) as customers re-engage over time. [/quote]Following are some tips to focus on, to increase retention and strive for the smile effect :) 1. Identify Product Growth Opportunities by: -Reviewing User retention for each segment of users -Reviewing different usage patterns and identify the ideal customer segment 2. Discover Product-Market Fit by: - Aiming for a flattened retention curve over time - Avoiding Line trending towards zero as this leads to a Leaky bucket problem thereby indicating that users are not realizing value through your product 3. Identify users with best retentions and view their product journey by: - Using the Cohort Analysis metric - For the above cohort, look out for feature adoption and common characteristics Armed with all this information, you now can introduce personalized product experiences to g
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