Narrator takes care of all your data needs at every step along your journey, from delivering insights to setting up a scalable data infrastructure to answering any data question.
With Narrator's new Analyze Button, generate a comprehensive data analysis instantly for any hypothesis you have, giving you all the information you need to make the best decision.
We invested in Narrator a year ago because of their ability to provide a true self-service analytics solution with quality and speed that both data teams and stakeholders could use in tandem.
Narrator's new "Analyze Button" is their next step and a breakthrough self-service data analysis tool. Basically, you pick a metric you're trying to improve and something that you think might affect it and Narrator will generate a comprehensive analysis instantly. It automates manual steps like checking for statistical significance, consistency, and impact, all while presenting the data in a way where anyone in your org can understand the underlying takeaways and clear recommendations.
I'll let Ahmed, (CEO) tell the story below.
Hello Product Hunt! 👋
I'm the co-founder and CEO of Narrator. We launched Narrator last year to provide true self-service analytics to organizations of all shapes and sizes. With today's launch of our "Analyze Button", we're excited to officially enable Narrator users to go from question to data-driven decision in under 10 minutes.
It was important to us that this automated analysis follows the same approach as a human analyst. It should have a specific recommendation, be easy to understand, and start from a real question. It should work across any data and should be quick to configure and use.
There's been a major shift in the data world from dashboards to analyses. Dashboards are great for kpis, but can be easily misinterpreted leading to poorly informed decisions and wasted resources all under the guise of "data-driven decision making". The problem is, building an analysis with statistical rigor that's also easy for anyone on your team to understand requires too much time and expertise to be worth it for every question.
This is why we built the "Analyze Button". So anyone can evaluate their hypotheses instantly to make the most informed decision.
More importantly, it takes no more than an hour or two to go from connecting your warehouse to generating your first analysis.
Looking forward to your thoughts, questions, and feedback! Let us know what you think in the comments below.
Ahmed
@ahmed_elsamadisi@jennifer_li3 Companies have optimized the best product for a customer to buy first, the value of any A/B test, the best landing page to maximize leads, the best time of day to call a customer, the impact of coupon code to repurchase, the email that gets people to come back after they have been dormant for a while and so much more.
The best way for you and anyone to experience it, is to book a demo.
In the demo, we can go through any question that you would have asked in your past or want to ask. In just 5 minutes, you will see how that question becomes a detailed analysis in a story format with clear recommendations.
If you ask a question that I personally cannot answer then you can have the product for free. (conditioned that the data exists)
@ahmed_elsamadisi@jennifer_li3 The website is the best place. If you actually use the demo link in the Customer 360 page then the demo will be with me :)
Congrats on the release @ahmed_elsamadisi.
Who are the ideal users for this product? All businesses, broadly? Or do you see a specific subset of customers getting particularly high value out of this?
@ahmed_elsamadisi@vantoai Narrator has had great traction with the following:
Growth Teams - They deal with data across multiple systems (email, marketing, sales, product) and answering questions quickly is vital
Customer Success - They are staring at the customer journey all day in Narrator. As customer complain about things that bother them, the support team is able to see if that problem impacts churn or NPS score and can properly escalate the issues that matter
Sales Team - Sales is always optimizing but they do it by trial and error. Even thought companies have a wealth of data. With Narrator they go from testing things with their small sample of leads and spending months, to seeing it with the companies entire dataset
Product Team - Product is critical and at some point doing amplitude is not enough and Looker/Dashboards are too restrictive. You need accurate data that your data team validated, and the ability to ask and answer anything. This is when Narrator comes in. Data is happy and product can go back to optimizing the customer experience.
Does that help clarify the common users and use-cases?
Sieve
Narrator
CrewFire