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

Sales and marketing teams had no clear way to know which content actually helped move deals forward. Opinions were personal and not shared between teams, new materials were not trusted, and the right document was hard to find among hundreds of scattered files — so reps wasted time remaking assets, used outdated decks, and lost deals.

Outcome

A content system that collects materials from CRMs, email and storage, scores each piece by how deals actually moved, and recommends the best content for an active deal — giving teams a clear, up-to-date view of what works.

Impact

Decisions moved from opinion to real data and reps stopped spending time on weak materials, while the business could finally see how its content was used across teams — making the whole sales process more efficient.

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.