help.dcipheranalytics.com Open in urlscan Pro
34.79.98.241  Public Scan

Form analysis
1 forms found in the DOM

/en/

<form action="/en/" autocomplete="off">
  <div class="flex w-full flex-col">
    <div class="relative flex w-full sm:w-search-bar"><input type="text" autocomplete="off"
        class="peer w-full rounded-search-bar border border-black-alpha-8 bg-white-alpha-20 p-4 ps-12 font-secondary text-lg text-header-color shadow-search-bar outline-none transition ease-linear placeholder:text-header-color hover:bg-white-alpha-27 hover:shadow-search-bar-hover focus:border-transparent focus:bg-white focus:text-black-10 focus:shadow-search-bar-focused placeholder:focus:text-black-45"
        placeholder="Search for articles..." name="q" value="">
      <div class="pointer-events-none absolute inset-y-0 start-0 flex items-center fill-header-color ps-5 peer-focus-visible:fill-black-45"><svg width="22" height="21" viewBox="0 0 22 21" xmlns="http://www.w3.org/2000/svg" class="fill-inherit">
          <path fill-rule="evenodd" clip-rule="evenodd"
            d="M3.27485 8.7001C3.27485 5.42781 5.92757 2.7751 9.19985 2.7751C12.4721 2.7751 15.1249 5.42781 15.1249 8.7001C15.1249 11.9724 12.4721 14.6251 9.19985 14.6251C5.92757 14.6251 3.27485 11.9724 3.27485 8.7001ZM9.19985 0.225098C4.51924 0.225098 0.724854 4.01948 0.724854 8.7001C0.724854 13.3807 4.51924 17.1751 9.19985 17.1751C11.0802 17.1751 12.8176 16.5627 14.2234 15.5265L19.0981 20.4013C19.5961 20.8992 20.4033 20.8992 20.9013 20.4013C21.3992 19.9033 21.3992 19.0961 20.9013 18.5981L16.0264 13.7233C17.0625 12.3176 17.6749 10.5804 17.6749 8.7001C17.6749 4.01948 13.8805 0.225098 9.19985 0.225098Z">
          </path>
        </svg></div>
    </div>
  </div>
</form>

Text Content

Go to Dcipher Analytics
English;
English
Go to Dcipher Analytics
English;
English

All Collections

Use case guides

How to make the most of the Insight Booster Toolkit
How to make the most of the Insight Booster Toolkit
Written by Zafer Çavdar
Updated this week
TRY FOR FREE



The challenge for insight professionals lies in the overwhelming volume of
information proliferated through news sources, social media, and various
reports. Gaining an overview often takes excessive amounts of time, and the
large volumes make it difficult to discern the unique insights. Many texts are
also inaccessible to researchers due to language barriers.



Dcipher’s landscaping workflows can give you a quick overview of large volumes
of text in the form of an interactive “landscape map” that surfaces important
information, including “unknown unknowns” that you didn't know existed. To delve
deeper, Dcipher Research Bots answer your questions about everything you want to
understand in detail and provide references to the original sources for
validation and further reading.






TYPICAL USE CASES

 * Speeding up all kinds of desk research and information gathering processing

 * Mapping topics, themes, and trends in news reporting and social media
   conversations around topics of interest

 * Getting answers to questions and finding the most relevant sources for topics
   of interest
   
   


DELIVERY FORMATS AND OUTPUTS

An interactive report with a content landscape based on news reporting, social
media, or PDF reports in your area of interest:



And a Dcipher Research Bot that you can chat with to get answers and summaries
based on the news articles, social media posts, and reports you that you have
asked it to read:








HOW TO UTILIZE DCIPHER ANALYTICS’ INSIGHT BOOSTER TOOLKIT?

The overall approach described here has two components:

 1. Divergent phase: first an open-ended, bottom-up content landscaping analysis
    of an area of interest to get an overview and surface interesting topics and
    themes.
    
    

 2. Convergent phase: then a top-down analysis, interacting with a research bot
    to delve deeper into topics discovered in the divergent phase.

Each of the two steps can be run separately. Content landscaping is especially
relevant when trying to understand an area and for surfacing unexpected patterns
and information. Research bots are most useful when the questions are known, and
when finding the answers to the questions is like searching for needles in a
haystack.






STEP 1: RUN A CONTENT LANDSCAPING WORKFLOW

Log into your Dcipher Analytics account, go to “Dcipher Workflows”, and select
one of the following workflows for content landscaping:

 * Content landscaping of news

 * Content landscaping of social media

Click “Use this workflow” and follow the instructions in the workflow wizard.
The wizard guides you through the process of setting up the workflow. At the end
of the Wizard, click “Run workflow” to start the workflow run and wait for the
results to be generated. You will get notified by email once your delivery is
ready.






STEP 2: ACCESS THE RESULTS VIA AN INTERACTIVE REPORT

Once the workflow is done, click the workflow in the Workflow view and then
click the interactive report icon. This will open the interactive report so you
can view and interact with the results. The report has three views:

 * Content Landscape: Shows topics (clusters of similar information) and
   thematic hotspots (clusters of topics) organized based on similarity. Click a
   topic to get a summary of the associated information and key source
   references. This view is a great way for getting an overview of the analyzed
   content and finding interesting topics to delve deeper into.

 * Category View: Shows topics organized by available categories, such as themes
   and countries. This view is useful for dividing the identified topics into
   different categories, making them easier to digest.

 * Trend Chart: Shows the growth in the topics’ share of voice over different
   time periods, depending on what the input data supports. This view provides a
   great way of finding topics that are trending over a given time period.

To publish an interactive report publicly for sharing with others, click the
“Copy link” icon in the top-right corner of the screen.



Exploring an interactive report often gives rise to new questions and an
appetite for drilling deeper into topics of interest. This is where the research
bot comes in (see subsequent steps).






STEP 3: SET UP A RESEARCH BOT TO TRAIN ON YOUR CONTENT OR EXTERNAL DATA

When logged into your Dcipher Analytics account, go to “Dcipher Workflows”, and
select one of the following workflows for training a research bot depending on
the source of interest:

 * Research bot based on news

 * Research bot based on social media

 * Research bot based on PDF reports

After clicking “Use this workflow”, the wizard guides you through the process of
training the research bot. When the training is done, you’ll get an email
notification.






STEP 4: INTERACT WITH THE RESEARCH BOT

You find the trained research bot on the Research Bots page in your Dcipher
Analytics account. Click the bot to start interacting with it. There are three
interaction modes:

 * “Question-answer” is the best mode when you have concrete questions that you
   want an answer to. Ask anything you want to know related to the topic that
   you’ve set up the research bot to read up on.

 * “Subtopic summarization” performs a content analysis and summarizes the seven
   largest themes within the data.

The bot will let you know if there is no relevant information about your
question or topic in the textual data it has been set up to read. In that case
you may consider expanding the search space and feeding it with more relevant
information.



Use the filter icon to get answers or summaries based on a subset of the full
data, for example news reporting from a specific country or information from a
specific report.






EXAMPLE ANALYSIS

Running a content landscaping workflow (step 1):



Exploring the interactive report (step 2):



Training a research bot (step 3):



Interacting with the research bot (step 4):





Did this answer your question?
😞😐😃
 * About us
 * Privacy policy
 * Blog
 * Use cases

 * 

IntercomWe run on Intercom