2022

ReturnB2B

Redesigned ReturnB2B's content analytics platform to help sales and marketing teams see which materials actually drive deals.

ReturnB2B interface

Product

Web app (desktop-first)

Domain

B2B SaaS / Sales Enablement

Client

Return B2B

Role

Sole UI/UX/Product Designer

Activities

workflow mapping role mapping prototyping UI kit usability testing

Metrics

time to locate content: ~2.3m user satisfaction: 4.3/5

Challenge

Across sales teams we found recurring problems: no visibility into top performers' habits, biased opinions on whether a piece of content helps a deal, mistrust of newly introduced materials, and hundreds of scattered documents that made the right one hard to find.

Outcome

We designed a system that collects sent links and documents from cloud storage, email and CRMs, tracks how each performed against deal movement, recommends the best content for an ongoing deal, and keeps rating every new interaction so success scores stay current.

Impact

ReturnB2B gives teams deep performance analytics on their content, speeds up sales by surfacing only the relevant materials, and integrates smoothly with CRMs, email and storage for a 360° view of client communication.

Communication timeline

True communication story

Wherever an article was shared — CRM, mailbox or messenger — ReturnB2B grabs it, giving the most complete file-communication log for each opportunity.

Deal progress chart

Visualizes deal movement and predicts the next step by extrapolating the data.

Content rating

Manual ratings

After sending something to a client and getting feedback, the salesperson is prompted to rate the interaction.

Auto-rating

Applied to interactions that weren't rated manually — the algorithm reads deal movement and speed to judge whether the content helped.

Avg. score

With multiple ratings in, the system calculates the average per content piece — its success score.

Content search

Global search

An AI-spiced algorithm finds the most relevant content for a user's request.

Filters

Find content of a certain format, set the desired "freshness", or the deal stage where it's needed.

Recommendations

Each deal surfaces the most relevant content items, ready to use straight away.

Manual suggestions

Beyond the machine's choice, people can recommend good content to each other.

Reporting

Several report types measure the impact of different content-sharing approaches and policies — company-wide or at a personal level.

Reporting

Content sources management

Corporate policy may ban some content sources (e.g. untrustworthy or outdated sites) or require instant rollout of new sales materials. That's where bulk editing and analysis come in.

Content sources management

Bonus: Gamification

Adopting a new tool is a big deal for rigid sales teams — a pinch of gamification can spark curiosity and a competitive spirit.