One of our objectives in a demonstration is to “suspend disbelief” – we are trying to make things look as real as possible. The more real things look in a demo, the more believable it is in the mind of the customer. “Demo” data can have a huge impact, accordingly, on the believability of a demo.
Data that is obviously fake will hurt our cause – and may drive the customer to request or demand a POC of similar trial. Examples of fake data include:
- Names of famous actors, book characters, cartoon characters and clearly made-up names (e.g., “Mary Manager”, “Steven Staffer”, “Edward Executive”).
- Clearly fake addresses – street names, cities, countries, etc.
- Clearly fake company names, similarly.
I recommend investing a reasonable amount of energy to acquire and use data that really looks real. One way to do this is to use data sources that your QA department may already use. This data is typically realistic and may already have specific fields that map to your target industries.
Interestingly, customers at different stages of the Technology Adoption Curve will likely react very differently to demo data. “Early Adopters” are often very forgiving of the data that is used. “Early Majority” customers are reasonably forgiving, but the further you move to the right and into the “Late Majority” the more they need to see their own data (or what appears to be their own data) used in demos.
Any tips for good sources of realistic-looking data?