LaunchDarkly provides a feature management platform that enables DevOps and Product teams to use feature flags at scale. This allows for greater collaboration among team members, and increased usability testing before full-scale feature deployment.
$12
per month
Whatfix
Score10 out of 10
N/A
Whatfix is the AI-native Digital Adoption Platform built for the modern enterprise. The platform unifies pre-production simulation training, in-workflow guidance and support, and adoption analytics for continuous optimization.
N/A
Pricing
LaunchDarkly
Whatfix
Editions & Modules
Foundation
$12
per month per Service Connection per month, or $10 per 1k client-side MAU per mo
Enterprise
Custom
Guardian
Custom
No answers on this topic
Offerings
Pricing Offerings
LaunchDarkly
Whatfix
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Optional
Optional
Additional Details
Discount available on the Foundation plan for annual pricing.
All Pricing models are customized and tailor-made according to the customer's requirement.
If a new feature should be added but unsure of how it will actually work or how users will accept the new enhancement or change, this tool allows you test and measure initial results. This saves so much time and energy knowing the results before it is deployed and might have low user adoption or acceptance.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Currently, we are only using Whatfix with Salesforce but are in the process of implementing on other systems. It is an excellent tool to organize and provide in-app access to training materials already created. It excels at providing guidance about tasks users don't complete often and, therefore, forget what they were trained about the process. The only sort of system it might not work well is one that provides its own robust in-app assistance. More than one type of tip icon being displayed, for instance, could be confusing.
A/B or Multi Variant Testing as a methodology to gather insight from customer usage. Experimentation as a feature within LaunchDarkly offers information around the success of one variant over another and whether the experiment has reached statistical significance.
Being able to decouple deployment of code from the release of a feature is hugely valuable.
Development teams are empowered to manage features within their production applications for reliability or testing purposes.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The possibility to select content/widgets at the time for "push to production" (some we would like to p2p for one single content, that is not possible at the moment).
I wish the filters in the dashboard would stay when you choose a content, currently you have to filter again and again.
In the analytics area, I would like the system to remember this for a certain time window after selecting the start date.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
[We feel like] even though Whatfix has its flaws, we are impressed by the speed of development [and] their openness about their future improvements, [but] most important their proactive customer service and customer success team. Whatfix acts more like a partner than a supplier of a 3rd party tool, and we welcome that experience.
It's very easy to create new feature flags and set them properly. It is more difficult to get LaunchDarkly integrated within a distributed system so that flags can be used. Especially on stateless servers where gating features by user is not easy. Overall though, it is very easy to get started and I like how simple it is to use.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
While they've made a lot of improvements in the last year, there are still challenges with walkthroughs and how beacons can be created. They are aware of these limitations and are actively soliciting customer feedback to help them remedy these shortcomings.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
From what I have seen, LaunchDarkly integrates well with your code and also services you might have in your tech ecosystem. We use Jenkins for automation and we were able to use it to build pipelines to automate the control of LaunchDarkly toggles in our code.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Whatfix is THE best vendor I've ever worked with when it comes to supporting their customers. The support team is friendly, helpful and always willing to listen to your suggestions and ideas. This also applies to the Engineering team who I've spent several hours on calls with debugging a few of the more challenging scenarios we have in place. Nothing is ever too much trouble for Whatfix and they are truly best-in-class when it comes to their support model.
While helpful, the feedback from our employee was, that [they felt] the training was very high-level - sometimes confusing. It would be great to have some kind of sandbox environment for new users to train certain scenarios.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Although Whatfix make the process relatively straightforward (they will provide Group Policy Scripts to install a Google Chrome extension specific to your organisation) its important to ensure your network deployment teams (if you have more than one) understand their role and what they need to do to test deployment once they undertaken the work.
Have used a custom feature flag application created inhouse. All the basic functionality was same as the ones that LaunchDarkly provides. But as time progressed, it required more and more tracking capabilities like which user has turned on/off a feature flag, what are the statuses of different feature flags that are being used across the application etc., So, all and all maintenance of such tracking has become cumbersome.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
There is no comparison - Whatfix is the clear winner with us from the very beginning. As Whatfix continues to grow and innovate their product, engage with it's customers on a level beyond any I have every seen. They work as Partners with us, their teams from bottom to top are incredible - Customer Service, Collaboration Teams, Innovation, Sales, Success Mangers and everyone I missed are incredible. One team in particular I want to call out for there outstanding service, care and innovation to help us launch one of our systems is the Professional Services Team. Ganish, Joel, and everyone else who has been on our calls and worked behind the scenes to hit our incredible tight deadline in August - KUDOs for a job well done, You ROCK, THANK YOU words cannot describe how great you guys have been with us on this project, but on all of them. Whatfix's team definitely understands, the customer is first, they align with our values and we will continue to grow with them
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Improved developer experience with some teams moving to Trunk-based Development.
Increased deployment frequency due to smaller code releases.
Validation of the technical and business value of work is achieved more quickly through smaller pieces of work and through experimenting with a small group of users before a feature gets to 100% of customers.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Reduced Training Costs: By cutting traditional training time by 40%, Whatfix has saved significant resources while increasing learning efficiency.
Improved User Productivity: Faster onboarding and fewer errors have led to a 25% improvement in user performance metrics, directly contributing to operational efficiency.
Decreased Support Requests: Self-service guidance has reduced support tickets by 30%, freeing up teams to focus on strategic initiatives and cutting support costs.
