It’s been three weeks since I started this research project
in Tetra. Now with all the information I can find online, it seems I’m in a
Every research started with a big chuck of information.
After reading the general information about the industry, slowly the target is
moved to a specific area where less information is available. In my case, the
sub-industry has no report, no market analysis, about 12 companies with only
two public. Finding the information becomes harder and harder. Since earlier
this week, my research curve slows down dramatically and for a couple of days I
can’t find any paper supporting the idea. Maybe this is a blue ocean for the industry;
also it could be where things will fail. I guess the grey area is where
business gets interesting or risky.
If learning curve is different based on people, then
research curve probably has more variability, not only on the researcher, but also
the subject. In science it happened all the time that after a long time search
in the database, you could end up with nothing. Then combining with the theory
learned at school, we started to do experiment, to either prove we are
innovating, or prove we repeated what someone else failed before. It could be
very depressing after a while if you keep hitting the wall. But also the moment
everything starts to make sense, the slope of the curve would increase to close
to 1! So the long term curve has no pattern, not even trending up.
And where am I now? I’ve no idea. I only know I’m still
trying. So hopefully the curve is slowly trending up and would lead to some
result, either negative or positive. With the paper thickness on my desk
climbing up, I certainly need to organize what I have found out and crossed out
the bullet points on the checklist. With a clear roadmap in front of me, it’s
easier to see through the fog and find the right path.