Analytics Powerpack Waiting List
The Problem
1️⃣ Most product, growth, marketing managers would be more than happy to do some of their own basic analysis but are unable to due to knowledge gaps (e.g. statistics)

2️⃣ In many instances you don't have analysts in the team, or if you do you can't get the analysts' time so end up moving forward without any analysis.

3️⃣ Sometimes involving an analysts slows down the process as you have to push for their time and timelines are tight.

4️⃣ You're happy to use tools but are unsure where to find them, how to use them and how to interpret the results.

5️⃣ You'd like to ask for help, but the analyst time is probably better spent solving mission critical problems

The Solution:
💡Analytics Powerpack - a DIY analytics toolkit designed to empower Product, Growth, Marketing and Experimentation teams to do their own analysis and make data-driven decisions  faster without the need of an analyst.

🔦The mission is to productise data analysis into simple to use, self-serve tools that don't require any statistical knowledge from the user.

What's Included

Analytics Powerpack will initially go live with the following self-serve features: 
  • What is the smallest effect you can detect on AOV/ARPU/LTV with your given users for an experiment
    MDE Calculator - Means
  • What is the smallest effect you can measure on Conversion with your given users for an experiment
    MDE Calculator - Proportions
  • Make better estimations on product releases and new features
    Impact calculator
  • Calculate the right amount of respondents for survey studies
    Email Survey Responses Calculator
  • Understand the relationship between two variables
    Linear Regression Calculator
  • Get statistical accuracy on experiments with small sample sizes
    Bayesian AB Test Calculator
  • Test for significance on your experiments results
    AB Test Result Calculator for Means & Proportions
Future releases will include 
  • Tutorials and guidebooks for each product and how to use them
  • Templates for event tracking and other useful analytics activities
  • Regular training sessions on Product Analytics and Experimentation
  • More self-serve tools
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Pricing Questions (Optional)
The next few questions are to help me understand what a good price point would be for Analytics Powerpack
What price would you consider Analytics Powerpack to be too expensive? (please state per month/year)
What price would you consider to be too low that you would feel the quality couldn’t be very good? (please state per month/year)
What price would you consider to be good value for money?
How much would you expect this product to cost? (Assume discount for yearly payment)
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Would you use your training/company budget or personal budget?
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What other use cases or types of analysis would you like to be able to do yourself?
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