1
Create the customer proof intake table
45-60 min
45-60 min
Start in Airtable and create a customer proof base before searching calls or tickets. Add fields for customer, account owner, source type, source link, quote or signal, product area, problem, outcome, metric, story angle, customer persona, permission status, sensitivity level, approved wording, next step, and owner. Add status values such as raw signal, needs review, approved to ask, hold, internal-only, customer-approved, published, and rejected. This keeps raw evidence separate from permissioned public proof, which is critical for customer trust. QA check: every proof item should have a source link and sensitivity level before it can move beyond raw signal.
Output
A customer proof intake base with fields for evidence, sensitivity, approval, and ownership.
Airtable
Pro tip
Do not use a single 'approved' checkbox. You need separate statuses for internal use, approved to ask, customer-approved wording, and published use.
2
Search Gong for customer outcome moments
1-2 hours
1-2 hours
In Gong, search customer calls for outcome phrases, before-and-after language, competitor switches, adoption moments, implementation wins, renewal comments, and metric mentions. Use keywords such as saved us, before this, now we can, reduced, faster, switched from, rolled out, adopted, easier, replaced, and team uses it. If your Gong instance has trackers or streams, use them to collect calls that mention customer outcomes, objections overcome, business impact, or competitive displacement. For each useful snippet, copy the source link, account, speaker role, context, exact phrase, product area, and whether a metric was mentioned into Airtable. QA check: only save snippets that include enough context for a CSM or AE to understand why the moment matters.
Output
A batch of call-derived customer proof snippets with context and source links.
GongAirtable
Pro tip
Look for small practical wins, not only big ROI claims. A quote about saving two hours every Friday can be more believable than a vague transformation story.