Let‚Äôs start from the premise that Search is ‚Äúgame-over‚Ä?. Google has won. The best explanation of Google‚Äôs dominance is in this Read/WriteWeb post. But if there is a Google-killer out there, the odds are that it won‚Äôt be from any of these types of search start-ups:
It is possible that Freebase will be a major breakthrough; but as it is not even in Beta yet, it is hard to judge. It is also stretching the definition of Search too far. And maybe that is the point ‚Äì the Google-killer won‚Äôt be ‚ÄúBetter Search‚Äô, it will be ‚ÄúPost Search‚Ä?.
If Search is ‚Äúgame-over‚Ä?, where are the emerging set of problems that new start-ups can solve? Where is the ‚ÄúPost Search‚Ä? space? The place to look is what we do AFTER a Google Search. Search is usually part of some research that we are working on. Search is part of (Re)Search.
Research covers Four Levels from simple to complex:
Level 1. Simple and personal. Google Search does the job. Smarter tag-based bookmark tools will come in future versions of Firefox or third party extensions. This will improve how we store, analyze and retrieve our past Searches.
Level 2. Small team research. This is where the current process is totally broken and we rely on Bookmarks, cut/paste into Word/Excel and email. Del.icio.us showed the way with Social Bookmarks, but it is too open for projects where confidentiality is important. The best example so far looks like Ma.gnolia. There is still a ton of work to be done in this area and the tools that break-through will also be able to scale to levels 3 and 4.
Level 3. Enterprise 2.0 tools. We now enter the realm of multiple teams and of outsourced teams working within a common workflow. The current batch of mainstream Enterprise 2.0 tools ‚Äì Wikis, Blogs and RSS ‚Äì are a major improvement on what came before. However they don‚Äôt offer enough structure for hard-core enterprise-scale research projects. The possible directions here include Structured Blogging, Semantic Wiki and Microformats. Enterprise 2.0 also requires integration; somebody needs to build and support a whole stack that includes Scrapers/Crawlers like Dapper, Survey tools, Publishing (Blogs and Wikis). At this level, Visualization, navigating the ‚Äúknowledge graph‚Ä?, becomes a critical addition to hyperlinks.
Level 4. The Big Problems. One step further is large communities focused on big single issues. This shares some characteristic with social networking, except that these ‚ÄúResearch Networks‚Ä? are tackling big global issues in areas such as Healthcare, Education and Poverty Reduction. The Internet is the most amazing extension of human capability. Surely it can do something more useful than enabling better ways for companies to sell more stuff to us, or better games to titillate our ADD bored minds, or a lazier way to get a date on a Saturday night? How about something like Moveon.org, but without the party political bias, enabled by all these new tools, and focused on a single issue such as how to solve the Education crisis in America?
The basic Search capability for Research could be improved by recognizing that this is different from consumer search a.k.a. ‚Äúshopping‚Ä?. Yahoo has something called Mindset (which sadly seems to be stuck in ‚ÄúBeta limbo‚Ä?) that nicely shows the difference between ‚Äúsearch to buy‚Ä? and ‚Äúsearch to research‚Ä?.
I am a classic ‚Äúfairly early adopter‚Ä? candidate for these kinds of tools. My use extends to Levels 1 and 2 and I am looking for Level 3 type tools for future projects. I believe that these tools have to move easily through the complexity levels. Here is what I would look for:
I imagine that lots of R/WW readers do this kind of research, on new technologies and markets. I would love to hear from you. Do you face similar issues? What tools do you find most useful? Is there a product out there fits my requirements list? What would you add to the requirements?