Using real time feedback mechanism to transform a good product to a great one

Learn how do we make it possible for a start-up to achieve research excellence in a limited cost & time with zero lag in consumer recall

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CONTEXT

A start-up premium beauty-care organization had 4 ranges x 5 SKUs to test. They wanted the rigour of the old-world qual and subsequent product testing for each.

APPROACH

In-use product test innovation to capture the responses about product usage happen at real time. No lag time.

WHAT'S DIFFERENT?

  • Questions designed to be asked across different days of usage & different dayparts
  • Our platform was WhatsApp so that we could take advantage of people’s habit of honest chat
  • As a result, it’s not just the WHYs in a Qual, but also the WHATs of a Quant
  • Conversation is 1:1, 90% automated; however, we got clarifications at real time

How & why does it work better than the current product testing method?

  • The questions are framed by dayparts and by each day
  • Certain questions are repeated after certain intervals to check for consistency
  • The experiment is done manually, however this can be automated in WhatsApp
  • Our data comes in both hard coded and soft coded manner
  • Again, the responses (data) for specific questions can be databased automatically
  • Variability in data can be understood and reported within the first few days
  • Identification of the discerning respondents at an early stage is easy
  • WHYs are better understood from these discerning respondents
  • This data narrative among the discerning respondents gives a good idea of drivers.
  • The good control also helps to test multiple, regime-based SKUs at the same time (all e-com ventures have a range to launch, so this method is realizable) ​
  • Regime based range testing provide learnings around product sensorials on how to trigger a behaviour to use their entire range (so that's a great value add, beyond just evaluation)

These pointers indicate why this is not just a data collection innovation but it's a research method innovation.​

OUTCOME

  • Time: time taken for scripting of questionnaire / survey programming; No time taken for data entry, data processing & analysis (you can almost build your findings & recommendations as the usage period progresses); a 7 days usage product test takes a total of 10 / 12 days to complete; this might mean a 60%+ reduction in time from the usual 30 days time taken for the current in-use product test method
  • Costs: a ) if a range has 5 SKUs (to be used as a regime), then instead of 5 monadic tests - we are talking about 1 monadic test; costs reduce dramatically; b) for a monadic test also, survey programming & field interview, 1:1 data collection costs reduce; c) the need for separate qual & quants are eliminated to a certain extent, so a dramatic reduction
  • Quality: 1) identification of scores of discerning respondents (variance analysis of the scores from the first few days); 2) aggregate scores are far less top-boxed, more differentiated; 3) drivers are much better to identify esp among discerning respondents; 4) WHYs & WHATs from same source

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Brand Eigen

'INSIGHTS TO ACTION’ TUTORIALS

10+ video snippets on how ‘insights can be transformed into action’ as per our experience in insights, marketing & business development.

Use the indirect approach and try to hear the unsaid

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Keep Brand Proposition in mind and try to find out the underlined context

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Involve your personal experience

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Reach beyond the Target Group

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Discomfort in price will add value to your product

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Judge the behavior by pitching higher or lower price than you intend

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Talk about Packaging by changing order of the conversation

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Channel equity to be considered

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Check for the budget before investing

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Have an early conversation with your board

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CONTACT US

Lets start Curating

Expect a reply within the next 4 hours.