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The Lantern Network

Brentwood, Tennessee, United States

One record for every learner.

How The Lantern Network is turning disconnected training feedback into one evidence practice for participant growth.

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Lantern Network mentees and mentors at a career-development event

The operating problem

Growth cannot live in four disconnected surveys.

Mentoring, skill-building, and career exposure create change over time. The Lantern Network needed an evidence model that kept participant signals, staff context, and follow-up connected—so the next step could be visible while the programme was running.

A meaningful measure

A Sopact customer partnership

One working view

From first response to follow-up evidence

A practical change

Consent-based conversations and staff context can sit beside structured responses.

Baseline to follow-up — source-linked evidence stays with the learner journey.

Customer voice

Customer representative portrait

The story

A learning journey becomes a working record—so a lean team can see progress, respond sooner, and tell a more credible impact story.

The Lantern Network works with students and emerging professionals through mentorship, professional development, and career exposure. Its programmes help people build the skills, confidence, and connections that make long-term mobility possible.

Across a three-year partnership with Sopact, the work is evolving from isolated surveys into one evidence practice that follows learning while it is happening.

Growth does not fit inside a pre/post survey

Confidence, workplace habits, professional networks, and career readiness change over time. A single survey at the beginning and end of a programme cannot show what strengthened, what stalled, or where a participant needed support.

For a lean team, the consequence is familiar: rich activity, scattered feedback, and too much manual work before a funder or programme decision can be made.

Connect the signals around every learner

The Lantern Network is building a record that stays with the participant from baseline through follow-up. Structured responses can sit alongside staff observations and, where appropriate and consented, evidence from participant, ambassador, alumni, and employer conversations.

  • Baseline signals establish each participant’s starting context.
  • Midpoint evidence helps the team see where support may be needed.
  • Exit and follow-up responses keep outcomes connected to the journey that produced them.
TLN data architecture showing a central unique mentee record connected to intake rubric, assessments, weekly reports, mentor logs, and evidence artifacts.
TLN’s evidence architecture connects intake, assessment, mentoring, and supporting artifacts through one learner record.

Keep the human view of the evidence

AI-assisted analysis helps the team work with open-text feedback without flattening it into a score. Staff can trace an insight to its source, retain the context behind it, and decide what action is useful next.

The aim is not automated judgement. It is a clearer, more workable view of progress for mentors, programme leaders, and the people responsible for learning design.

Make the donor narrative evidence-led

As historic surveys and reports move into a connected environment, The Lantern Network can bring programme evidence, stories of change, and follow-up signals into the same reporting process. That gives the team a more credible foundation for programme improvement and donor communication—without asking staff to rebuild the story by hand each time.

Privacy note: This case study describes the partnership at a high level. It does not disclose participant information, financial figures, or confidential programme performance data.

Bring one workflow. Leave with a path forward.

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Sopact Sense connected record: sources, activity, and decisions in one place
One connected record — source, context, and decision.