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Use of Data : Customer acknowledges and agrees that Alchemer may analyze Customer’s content and usage … of the Services to derive aggregated, anonymous statistical data regarding use of the Services (“Analyzed … If the investigation finds a need for containment, that will occur, and then analysis will follow.
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Theme Structure : When Alchemer Pulse first analyse your data our tool creates a “theme structure” by … M Metadata: This is the data that is attributed to each response, it can tell you when the response … T Theme: Customer feedback is analysed and tagged with one or more themes.
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to ensure they’re fully represented in your analysis. … Supplier Sentiment Analysis For an organization that sells products supplied by other companies, it … Tips to Optimise Your Analysis Prioritise Key Breakdowns : Use the most important breakdowns first
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Smart ways to filter and analyse your data using Segments
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*This refers to segments in data analysis. … conjoint analysis). … CBC is the most common form of conjoint analysis.
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Parameters are useful for 'what-if' analysis, financial planning, cohort analysis, and so on. … Use this field to add additional information users might need before using this Parameter in their analysis … Use this field to add additional information users might need before using this Parameter in their analysis
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some test data and run some test exports to be sure you have the data you need to perform your analysis … If you plan to export your raw data to analyze outside of Alchemer, it is equally important to generate … Use Validation and Other Data Cleaning Tools One of the trickiest things about open-text data is making
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For example, you may want to create a set to show the first sale date per customer. … create sets, which can be used to classify values in a list that you can then reuse across multiple analyses
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Again, the HR team wants to have this information in the same data file for analysis, so they want to … order to analyze what aspects of employee happiness improved and what aspects did not. … For these returning respondents, they wish to have last year's data available in the same data file in
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*This refers to segments in data analysis. … If you plan to do some specific analysis within Alchemer this report compatibility chart should help … Once there, select the Max Diff Raw Data option.
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create sets, which can be used to classify values in a list that you can then reuse across multiple analyses
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grouping answer options is Top and Bottom Box Scoring but this feature can be used for all sorts of analysis … Scoring (also referred to as Top Box, Top 2 (or 3) Box Scores) is a very common way of reporting and analyzing … This functionality allows you to do what is often referred to as "recoding" in data preparation parlance
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(Optional) If you wish to include an external data file in your analysis (say for benchmarking), you … To use this data in your R Scripts click the Show/Hide link to the right of Include additional data from … You can use the R Settings to store data like weights or other survey-level data that varies across surveys
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When analyzing your data, you'll notice that some question types look different than others. … Analyze your Comparison Report Data Once your Comparison Report has finished running, you'll see tables … A Comparison Report allows you to view your summarized data broken down by a subgroup of the data.
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To do this, we'll need to explore the analytics and feedback tab so you can find answers in your data … for the reporting data. … It's now time to try this with your own data!
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info can be found either in the individual response on the Details tab or in a CSV/Excel export of the data … Unfortunately, none of the tools we could find will analyze user strings in bulk. … will automatically detect your user string when you visit and allows you to paste a user string for analysis
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If you plan to use the CSV/Excel Export or SPSS Export to do more advanced analysis of the raw data, … This isn't a problem to fix per se, but in the case of advanced analysis understanding your data output … Piped data is pretty complex and can be time consuming to decipher in the analysis phase of your survey
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If you plan to use the CSV/Excel Export or SPSS Export to do more advanced analysis of the raw data, … This isn't a problem to fix per se, but in the case of advanced analysis understanding your data output … Piped data is pretty complex and can be time consuming to decipher in the analysis phase of your survey
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Cohort analysis and reporting generally includes 4 main inputs: Cohort type (App launch), cohort size … understand how your customers are retained by your app, Alchemer Digital uses a technique called “ cohort analysis … the last “cohort” corresponds to your date filter end date.
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For further analysis, click the link to view your KPI in the original Dashboard. … Note that Alchemer checks your KPI data against the expected data range at the time period you define … who also have view access to the data source.