← NetBase ProDeep dive · Research & user testing

NetBase
Pro Research

How research turned “make it simpler” into a product that actually shipped.

13 participants5 companies5 personas
research-artifact
SCOPE ▬ALL SOCIALEnter Keywords, @mentions, #hashtags and Links …🕐 LAST DAY ▬🔍 SEARCH
ALL SOCIAL
SAVED SEARCHES
SAVED SEARCH 1
SAVED SEARCH 2
SAVED SEARCH 3
SAVED SEARCH 4
SAVED SEARCH 5
BROWSE…
LAST WEEK
LAST MONTH
LAST YEAR
ACTIVE FILTERSFILTERFILTER ✕
Separate words/phrases with commas, (i.e. "Black Friday, promotions, door busters")CLEAR
SOURCEAll SourcesCLEAR
Separate words/phrases with commas, (i.e. "Black Friday, promotions, door busters")CLEAR
COUNTRYAll CountriesCLEAR
DOMAINSSeparate words/phrases with commas, (i.e. "Black Friday, promotions, door busters")CLEAR
LANGUAGEAll LanguagesCLEAR
CLEAR ALLSEARCH
OVERVIEWSTREAMCOMPARE+ ADD TABSAVEEXPORTSCHEDULECOMING SOONADD CARD
⋮⋮POSTS⚙ ✕
POSTS
4,444
AUTHORS
4,444
VIEWING BY: DAY
Date
Posts #,###
Authors #,###
AUTHORSPOSTS
⋮⋮SENTIMENT⚙ ✕
POSITIVE
1,222
POSITIVE (POSTS)
233
VIEWING BY: DAY
NEUTRALPOSITIVENEGATIVE
⋮⋮DEMOGRAPHICS⚙ ✕
50% (500)
050100
EXPORT
ENTIRE TABSPECIFIC CARDS
CARDS1 Selected
CARD NAME
CARD NAME
CARD NAME
CARD NAME
CARD NAME
CARD NAME
CARD NAME
CARD NAME
CARD NAME
CARD NAME
CARD NAME
CARD NAME
CARD NAME
CARD NAME
CARD NAME
CARD NAME
PDFEXCELPPT
User researchUsability testingPersona developmentCompetitive analysisStakeholder managementProduct strategyNetBase · Social analytics
01Where it starts

One product, and only analysts could use it.

NetBase Enterprise could process billions of posts and slice sentiment a hundred ways — and that was exactly the problem. It was so dense that the analysts who ran it couldn’t hand anything off.

Every request routed through

A marketer, a PR lead, or an executive who wanted a number had to route it back through the analyst— every time.

What customers kept saying

In different words, over and over: we need something simpler for the people who aren’t analysts.

The product’s own power created a bottleneck around the handful of people who understood it.
02The extreme we shipped first

Instant Search: “simple,” taken all the way.

One search box, modeled on Google. Type a phrase, get instant basic analytics back — no configuration, no learning curve. We demoed it at the company’s first user conference, and it landed.

The verdict from users

Validated— the idea was right. But also too simple. We’d heard “easier to use” and sprinted straight to the far extreme.

The feedback was specific

ShareEnterprise data with the whole team — the handoff pain again. And modern visualizations, so they’d stop exporting into other tools just to make it look decent.

Somewhere between “too simple” and Enterprise was the product we needed. That became NetBase Pro.
03Why research, and why these people

I wasn’t going to build a platform on a hunch.

The hypothesis: users needed a step between the bare simplicity of Instant Search and the great complexity of Enterprise.

Recruit early adopters

The people who praised Instant Search at the conference, plus our larger accounts — the likely first buyers.

Build ownership early

Pulling them into the process early made them feel ownership — and more likely to buy at launch.

Partner cross-functionally

Sales & CS opened the doors; marketing, who knew the competitive landscape cold, worked alongside me.

!The obstacle nobody warns you about

The hardest part wasn’t the users. It was the politics.

One team held the belief that salespeople were the onlypeople allowed to talk to clients — and I got completely shut out of recruiting on my own. Genuinely frustrating. But research access is a stakeholder problem, not a methods one.

01 · Reframe

A different job

Framed research as a different job than selling — not a threat to it.

02 · Persist

Work it patiently

Kept at it until they agreed to simply make the introductions.

03 · Deliver

Run it unbothered

Then ran my sessions unbothered — access won, relationship intact.

Research access is a stakeholder-management problem as much as a methods problem. You solve it with patience, not just a protocol.

05Who we talked to

A sample built on purpose, not convenience.

Every axis of the sample was a deliberate choice — weighted toward the people Pro most needed to win.

13 participants5 companies

Managers & executives — 8 of 13, the target

Deliberately weighted toward the buyers Pro had to reach.

Existing users vs. newcomers — 9 existing · 5 new

So I’d hear both the newcomer’s confusion and the veteran’s frustrations.

Gender mix — 8 men · 5 women

The composition wasn’t an accident; every axis was a decision.

06What the market rewarded

Five gaps Enterprise had, and rivals didn’t.

Alongside the sessions, marketing and I ran competitive analysis. It surfaced a checklist that shaped every Pro decision that followed.

01

Onboarding

Easy onboarding & self-service.

02

Upgrade model

A freemium / premium upgrade path.

03

Analytics

Simple-but-meaningful analytics.

04

Export

Ease of export to other tools.

05

Visualizations

Polished visualizations.

Every one of these became a requirement Pro was measured against.

07Five personas anchored the work

Who we were really designing for.

Out of the sessions I built five personas that anchored the design work. Four non-analyst personas Pro was built for — and, tellingly, the Analyst, who wanted Pro to exist so they could hand off the small stuff.

Active Social Listener persona

Active Social Listener

Non-analyst

Researcher persona

Researcher

Non-analyst

Casual Explorer persona

Casual Explorer

Non-analyst

Executive persona

Executive

Target buyer

Analyst persona

Analyst

Wanted Pro too

Each persona carried a verbatim quote that kept the handoff problem in front of us.

08The words that anchored everything

Two verbatim quotes carried the whole research.

The non-analysts

“I ask the analyst to run reports for me because I don’t know how to use the system.”

— Listener, Researcher, Explorer, Exec

The Analyst persona

“It would be great if I had a tool I could give to people to do the small stuff so I can focus on the bigger questions.”

— The Analyst

Both sides of the handoff wanted the same product.

09The question the research produced

How might we…

build something a non-analyst can pick up with minimal help, while leveraging — and improving on — the data already proven in Enterprise, and keep it flexible enough to grow for years?
ApproachablePowerfulExtensible
10What the research bought

It paid for itself immediately.

Every feature Pro shipped traced directly back to what these users told us they needed.

Dashboard, card concept, filter & search, Compare — each one answered a specific research finding, not a hunch. And it confirmed the commercial bet: a mid-tier product could win new business. Research de-risked the platform before a line of it was built.

15
new users tried or purchased
·
8
existing accounts upgraded
·
2
lost sales pulled back in
·
3
Fortune 500 beta partners

Downstream proof — Pro shipped, went through a large-scale beta with three Fortune 500 companies, and drove those results in its first quarter on the market.

What the research taught me

When a user says “make it simpler,” don’t sprint to the extreme. The product lives in the middle.

Ship, then listen

You only find the middle by shipping the extreme first, then listening honestly when users say you overshot.

Build on what they said

Every Pro feature traced back to a real research finding — not a hunch about what “simpler” meant.

Access is political

Getting to your users is a stakeholder-management problem you solve with patience, not just a methods one.